With Analytics Leaders outlook study, we aim to get a pulse of overall sentiment around analytics and data science industry in India. Sentiment surveys are always an early indicator of how an industry is going to fare in coming years and we have been doing to this in-depth survey since last 3 years.
This year, we surveyed 47 analytics leaders; ranging from Chief Analytics Officer, head of Data Science, Director & VP’s of Analytics; extensively on how they predict their own organization on hiring plans, growth areas, strategic decisions etc.
Here are the results of the study.
Business Confidence
All respondents expect the demand of Analytics at their organization to increase over the next 12 months. Thus, the sentiment outlook within the industry continues to be at a high. This result is consistent from last year.
Next, we asked the leaders to rate on a scale of 1-10, if they are confident on analytics being a key focus area for organizations globally over next 12 months –
36% leaders gave a perfect 10/10 score. This is lower than 47% from 2016 and consistent with 36% from 2015.
Just 1 respondent gave a score of less than 7 out of 10
Average Confidence score was 8.7/10; lower than 9.0/10 in 2016 and in-line with 2015 score of 8.6/10.
Also, we computed the Net Sentiment Score (Calculated as difference of % respondents with score of 10s & 9s and % respondents with score from 0 through 6s), at 51%.
Though this is lower than the 61% score from 2016, it is still an extremely high score by all measures.
Net Sentiment Score in 2015 was 49%.
Overall, Analytics leaders in India exhibit a strong positive outlook towards the industry this year.
We did a similar outlook study for IoT leaders in India. The sentiment score for IoT Industry currently is much lower at 27%.
87% of decision makers plan to increase their analytics workforce in next 12 months. This is lesser than 94% from 2016 and 96% from 2015.
13% leaders say that they have no hiring plan for the coming year.
Key Challenges
‘Unavailability of Analytics Talent’ continues to be the biggest challenge faced by Data Science Leaders in India.
66% decision makers believe that ‘Unavailability of Analytics Talent’ is the major challenge that they face. The percentage is almost same from 2016 and 2015 at 69% and 66%
45% of leaders believe that ‘Little knowledge of analytics among customers’ is a major challenge for them. This is the biggest change in challenges since last 2 years.
In 2016 & 2015, almost 60% analytics leaders claimed to face the challenge of consumers (internal or external) to not understand analytics well. The knowledge among analytics consumers has great increased in last year.
Few leaders are wary of competition; just 15% believe it’s a challenge for them (up from 12% last year).
The biggest change came in how leaders perceive the demand of analytics. Only 13% believe that analytics demand has peaked, as opposed to 4% last year.
Other challenge that Leaders spoke about this year is on lack of innovation around data science offerings in India. It has also been pointed that there is an ‘emphasis on looking good’.
We asked our respondent on what according to them are the biggest growth industries for analytics in next 12 months.
‘IOT / Sensor/ Predictive Maintenance’ continues to be the top area of growth in analytics. 66% respondents believe this to be the top growth area, which is in line with 2016 results of 69%.
‘Digital/ Online/ Mobile/ Social’ follows at 55%, down from 67% in 2016.
‘Big Data/ Database Management’ sees the biggest drop in outlook since last year. In 2016, 1 in 2 leaders saw this space to be a growth area. Today, just 1 in 3 analytics leaders in India expect ‘Big Data/ Database Management’ to be growth area in next 12 months.
On the contrary, ‘HR/ Talent/ People’ has increased in outlook from 20% in 2016 to 32% in 2017 as growth areas.
We asked an added question, on how the analytics organizations for these leaders are composed in terms of executing advanced analytics projects. We asked our respondents the percentage of work in their organization that involves advanced analytics.
Analytics leaders claimed that in 2017, 41% of the analytics work is in the area of Advanced/ predictive analytics/ modeling. This is higher than 38% in 2016.
The biggest bucket comprised of 10-25% advanced analytics work i.e. 26% respondents claim that the percentage of advanced analytics work in their organization as compared to other analytics work is in the range of 10-25%. This is higher from 2016 of 20%.
Analytics India Magazine brings to you a compilation of 10 most prominent academicians in the analytics industry who are contributing immensely in building up the right talent pool that the industry demands. Education being the backbone of the entire ecosystem, we bring to you the ingenious minds who are shaping up the budding talent. With diverse experience across the industry and academia, here is the list of academicians across the analytics and related domains of various institutes across the country.
Arindam Banerjee joined the faculty at IIM Ahmedabad after working in the industry for over seven years. After securing his Ph.D., Arindam was associated with various consulting / market research firms in the United States. During his tenure in industry, he worked on business analytics problems in the Retail Financial Services, FMCG / Retail and the Consumer Durable sectors. He has consulted with GE Capital, Sears Roebuck, Bank One, Miller Brewing Company, Kraft Foods and Chase Manhattan Bank, among others.
In the past eighteen year at IIMA, he has taught courses on Customer Orientation in Organization, Marketing Research and Customer Analytics, Marketing & Strategy and Quantitative Models in Marketing at the postgraduate and doctoral level programs. He also studies issues related to incorporating Analytics in business decision making, specifically in the context of Indian organizations.
At IIMA, he has also worked on consulting and training assignments with large Indian and multinational companies based in India such as Hindustan Unilever Limited, the TATA Group, TVS Group, Eaton-Vickers Inc., Reliance Capital, Infosys and more. Along with developing marketing and business strategies for Indian companies coping up with global competitive environment, he has worked on building specific systems and internal processes to reinforce fact-based business decision-making in many organizations.
He has authored book titled “Management Essentials: A Recipe for Business Success” and is all set to come up with his next book titled “Weaving Analytics for Effective Decision Making” in August 2017.
Image may be NSFW. Clik here to view.Arnab K. Laha, a PhD from Indian Statistical Institute, currently serves as the Professor of Production and Quantitative Methods at the IIM-A. He comes with a rich experience in both industry as well as academia. With a wide range of interest in Statistics and its applications particularly in Business Analytics, Healthcare Analytics, Quality Management and Risk Management, he has more than 20 papers published in national and international journals.
He has been associated with several reputed organizations, both in the private and public sector as consultant. Prior to joining IIM-A he had worked at Genpact. At Genpact he was one of the main architects of a novel learning and skill building initiative for career development of analytics professionals.
Having conducted large number of training programmes and undertaken consultancy work in the fields of business analytics, quality management and risk management, he currently serves as Faculty-Chairperson of IIMA Executive Education Programmes on these topics.
Prof. Laha is currently a member of Governing Council of Insurance Information Bureau of India and FICCI Healthcare Committee. He has authored popular book on analytics- How to Make the Right Decision” published by Penguin-Random House and takes a keen interest in understanding how training can be leveraged to quicken organisational growth.
Currently serving as the Professor (Finance and Analytics) at the Great Lakes Institute, he is also a visiting professor at the University of Ulm, Germany. He has a rich experience in Academia and prior to Great Lakes, he has taught at Management Development Institute as an Associate Professor and as Assistant Professor at the Northern Institute for Integrated Learning in Management based out of Delhi.
With an expertise in applied economic theory, game theory, financial economics & development economics, analytics, statistics and econometrics, policy analytics, derivatives and financial risk management, survey design and execution, research design, he has been a visiting professor at Indian Statistical Institute (Delhi), Vienna School of Economics and Business Administration (Austria), S.P. Jain Centre for Management (Singapore and Dubai), IIM (Kolkata, Lucknow, Bangalore, Kozhikhode).
A fellow at India Development Foundation, he was awarded PhD in 2002 by ndian Statistical Institute, Delhi. He is M.A in Economics from Delhi School of Economics and graduated with Economics (major), Statistics and Mathematics from R. K. Mission Residential College, under University of Calcutta.
He has been the Managing Editor of Journal of Emerging Market Finance, Journal of Infrastructure and Development and the Editorial Advisory Board of the likes of International Research Journal of Finance and Economics and International Bulletin of Business Administration.
Dr. Chandrashekar Subramanyam has 25+ years of academic work experience along with an experience in research institutes and corporate work experience. Prior to joining IFIM he has taught in premiere institutes like Fore School of Management, IIM Lucknow, Manchester Business School UK, Indore and National Insurance Academy.
A fellow member at Institution of Engineers, IETE, Life Member Computer Society of India and more, he has research interest in demand forecasting, risk management, supply chain optimization and customer lifetime value analysis.
An active speaker at various forums, he has several research papers published during his tenure. Recognizing his contribution in the academics, he has been awarded various accolades such as NASSCOM DEWANG Mehta award as best IT teacher, Higher Education Forum Contribution in IT Education and more.
As Program Chair (Analytics) at Bridge School of Management, he leads all analytics programs for the institute including the flagship Predictive Business Analytics program (offered jointly with Northwestern University, Chicago). Prior to this, he was the Analytics Track Coordinator at Institute of Management Technology (IMT), Ghaziabad, where he led the development of the school’s analytics specialization for the PGDM program.
Along with teaching students, both at IMT and at Bridge SoM, he has taught multiple Management Development Programs in Analytics and Finance for companies including, Jubilant Food Works, Engineers India Limited, Luminous India and IFB Bosch. With nearly 15 years of experience, he has worked both in the industries such as financial services & investment firms and in academia.
He has been the VP of Quantitative Modeling at the hedge fund Sorin Capital, worked in research and analytics for The Blackstone Group, REIS and Dow Jones Indexes and most recently, he was the Head of Real Estate Analytics at Thomson Reuters.
A Chartered Financial Analyst and recipient of the Commonwealth Scholarship (UK), Prof. Dipyaman Sanyal has a MS in Applied Economics from University of Texas, Dallas and a MA and BA in Economics from Jadavpur University, Calcutta.
Gaurav Vohra, co-founder & CEO of Jigsaw Academy, has over 10 years of experience in the field of analytics and has worked across multiple verticals including financial services, retail, FMCG, telecom, pharmaceuticals, and leisure industries.
Vohra holds an MBA from the prestigious IIM Bangalore, and started his career in analytics with Capital One and over the last decade has worked with clients such as JC Penney, Gap, Walmart, IRI, 7-11, IMS health, and ICICI Lombard.
With his firm belief in the power of analytics for business growth, Gaurav founded Jigsaw Academy in 2011 as an avenue to meet the growing demand for talent in the field of analytics by providing industry-relevant training and education to develop business-ready professionals.
Professor at IIIT-Bangalore, he heads the CISL (Computational Intelligence and Systems that Learn) Lab at IIIT-B. He obtained his PhD and M.Tech from IIT Kanpur and B.Tech from IIT Madras. He has spent several years in the industry with companies like TISL, Infosys, Peritus Software Services (then a Boston based startup), CTO with Aztecsoft, including running his own niche consulting firm.
He currently teaches a series of courses on Machine Learning and Large Scale Data Analytics at IIITB besides guiding several doctoral and master’s students. He has been driving the machine learning research and teaching at IIIT-Bangalore for the last 5 years, as well as consulting several companies.
A regular speaker at various forums, he is one of the primary instructor in the Post-Graduate Diploma in data analysis being offered jointly by IIIT-B and UpGrad, which is currently one the best online programs in Data Analytics. This unique program tries to achieve the sort of scale that is seen only in MOOCs while ensuring the kind of completion rates rarely seen outside conventional classroom-based full-time courses.
With several research publications to his credits, Prof. Srinivasaraghavan is as hands-on as he is grounded in the underlying theory. This makes his lectures particularly insightful.
With a rich and varied experience across academia, research, industry, training and consulting, Dr. P.K Viswanathan currently serves as Professor Analytics at Great Lakes. He teaches business statistics, operations research, business analytics, predictive analytics and spreadsheet modelling to the students. He is also involved as a Key Faculty in the Management Development Programs conducted by Great Lakes.
In his industrial tenure spanning 15+ years, he has held senior management positions in Ballarpur Industries (BILT) of the Thapar Group and the J.K. Industries of the J.K. Organization. Apart from executing corporate consultancy assignments, Dr. P.K.Viswanathan has also designed and conducted training programs for many leading organizations in India.
Holding degrees in MSc(Madras), MBA(FMS, Delhi), MS(Manitoba, Canada), PhD(Madras), he has authored four book—two on Business Statistics published by Pearson Education, and one on Marketing Research published by the British Open University Business School, U.K. As a prolific writer, he has published research articles in reputed national and international journals and also presented papers in national and international conferences.
Dr. Mukerjee is currently the Program Director for the Business Analytics Programs at Praxis Business School. He completed his B.Tech from IIT Kharagpur and his MS and Ph.D from the University of Texas at Dallas. He has spent nearly two decades in the IT, software and management consultancy business and has worked in Tata Steel, Tata IBM, PwC, where he was a partner and in IBM where he was the head of the Kolkata Delivery Centre. He has been a full-time, tenured professor at the Vinod Gupta School of Management.
Prithwis has pioneered RDBMS in Tata Steel; eBusiness and web-based technology at PwC, 3D Virtual worlds at IBM and distance learning at VGSOM. In Praxis, he has designed a unique curriculum that stands on the three pillars of Data Science – Mathematics, that is Statistics and Machine Learning, Technology, including R, Python, Big Data and NoSQL and Functional Domains like Marketing, Finance and Telecom.
Prithwis writes a monthly technology oriented column in Swarajya. Prithwis won the Financial Express Big Idea contest with his unique idea of creating a National School Authority of India and expressing it in exactly 50 words!
His professional motto is “Resources are Limited, Creativity is Unlimited”
A fellow of IIM Calcutta, Dr. Soumyakanti Chakraborty joined XLRI Information Systems Area in 2009. His primary teaching interests include Business Modeling, Strategies of Information and Network Industries.
He has a diverse research experience and his interests include economics of information industries, cloud pricing, two sided platform businesses, combinatorial auctions, and algorithms. He has provided corporate training for reputed organizations in both the private sector and the public sector and includes organizations such as Viacom18, Madura Fabrics Limited, NHPC, NADP, WBSEDCL and other corporates.
Dr Chakraborty also take lectures for XLRI’s Data Science Online Certification Program in collaboration with Talentedge.
Attrition is a serious concern for analytics industry in India, especially when the availability of data scientists is called out as the biggest challenge facing organizations. Whenever, a well trained and knowledgeable employee leaves, the organization loses key skills, knowledge and business relationships. Moreover, there are serious costs involved in replacing that employee.
In this independent study, we try to put in some numbers around attrition rates in the analytics industry. This study is an outcome of a sample size of 20 largest analytics recruiters and the analysis of their current strength and past employees.
The main objective of this study is to provide benchmarking against which employee attrition can be measured. We will keep expanding the study over the year, as we accumulate more data as well as needs.
The average employee attrition in Analytics & Data Science Industry in India currently stands at 24.4% annually.
Also, analytics employees tend to stay in their organization for an average of 3.7 Years.
In terms of the organization type, the analytics function at IT providers tends to have the highest attrition at 26%. IT service providers are the biggest recruiters of analytics professionals and therefore tend to skew the overall attrition rates higher.
GIC’s/ Captive have an employee attrition at 22.1%, followed by Consulting firms at 21.9% and Boutique analytics firms at 21.6%.
IT service providers also tend to have the highest tenure of analytics professionals in their current organizations, at 4.5 years. We noticed no correlation between years in the current organization to attrition rates.
Captives have an average of 3.9 years as employee tenure followed by consulting firms at 3.3 years and Boutique analytics firms at 3 years.
Mumbai currently has the highest annual attrition rates in analytics, at 25.7%. The city boasts of a robust data science ecosystem, mostly from banking and finance industry. Coupled with high salaries and demand for data scientists, Mumbai is pushed to the highest position in terms of employee attrition.
Chennai, on the other hand, has the lowest attrition rates, at just 15.5%.
It is evident that larger cities, with bigger employee base in analytics (Bangalore, Mumbai & Delhi/ NCR) have higher attrition rates, higher than 20%. While, cities with lesser employee base have in turn lower attrition rates, lesser than 20%.
Also, current analytics employees in Mumbai are on average staying their current organizations for an average of 4.2 years. As earlier mentioned, we did not find any correlation with attrition rates and tenure.
Tenure of analytics professionals in Chennai is highest, at 4.5 years.
There is no doubt about the fact that Data Scientist is a trending job role. Infact, almost all industrialized countries are utilizing data science in some amount, shape or form and data scientists are in demand in most countries. Yet, there is a lingering question on data scientists’ salaries in various countries.
While we continuously hear about data scientist being one of the highest paid jobs around the world, there’s not enough literature/ research on what exactly these salaries are in various countries.
So, we decided to work on this one ourselves. Here we plan to uncover the top 10 highest paying countries to data scientist, both in absolute dollar terms and Purchasing power parity (PPP) basis. Here’s how we did it-
Extracted salary information for data scientists through various online portal that included:
Job boards like Indeed & monster
Country specific job boards
Salary research sites like glassdoor & payscale
Various online blogs & discussion forums
Found median salaries for each country
Converted the local currency to dollars
Converted the dollars to PPP relative to US$ using Big Mac index of 2013.
Here’s how to read this information:
These salaries are not directly reflective of the demand for data scientists in these countries. Salaries in a country are influenced by various factor apart from the demand, like minimum basic salaries, exchange rates & purchasing power
These are median salaries across all experience levels, industries and skills for data scientists. The goal is to provide a single number across countries that show the parity. We acknowledge the fact that there would be a range of salaries that would be dependent on various factors at work.
So, here are top 10 countries that pay the most to Data Scientists, along with the median salaries in $.
With its increasing relevance across various sectors, the global demand for big data, analytics and data science professionals is on a rise. Piling data along with a surge in fields such as AI, machine learning and data science, has made analytics the most sought after professions in India as well. There is an increase in demand for highly skilled professionals and companies are on a constant lookout for professionals who can fill the gap.
This brings us to our yearly study around the scenario of analytics jobs in the country. Titled “Analytics and Data Science India Jobs Study 2017″, it taps into this very aspect and evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.
This year’s study brought to you in association with Edvancer, a leading institute offering a wide range of online big data analytics training courses for all levels, brings a complete picture of the analytics and data science job scenario in India, in the form of eye-opening statistics and visuals.
The number of analytics jobs almost doubled from April 2016 to April 2017.
This is in sharp contrast to the percentage increase in analytics job inventory a year back. The number of analytics jobs increased by 52% from April 2015 to April 2016, and by 40% from April 2014 to April 2015.
While, it is difficult to ascertain the exact number of analytics jobs openings; by our estimates, close to 50,000 positions related to analytics are currently available to be filled in India.
Compared to worldwide estimates, India contributes just 12% of open jobs opening currently. The no. of jobs in India are likely to increase much faster vs. the rest of the world as more analytics projects get outsourced to India due to lack of skills across the world.
10 leading organizations with the most number of analytics opening this year are – Amazon, Citi, HCL, Goldman Sachs, IBM, JPMorgan Chase, Accenture, KPMG, E&Y & Capgemini.
In terms of cities, Bengaluru accounts for around 25% of analytics jobs in India. This is down from 27% a year earlier.
Delhi/ NCR comes second contributing 22% analytics jobs in India, down slightly from 23% a year ago.
Approximately 17% of analytics jobs are from Mumbai. This is up from 15% from last year.
The contribution of tier-B cities in analytics jobs have increased this year, from 5% in 2016 to 7% this year due to the increased number of start-ups operating in tier 2 cities.
Image may be NSFW. Clik here to view.Banking & Financial sector continues to be the biggest influencer in Analytics job market. 46% of all jobs posted on analytics were from the banking sector. This is an increase from 42% a year ago.
E-commerce have dipped in terms of analytics jobs this year. Just 10% of analytics jobs were in ecommerce sector as opposed to 14% a year ago.
Media/ entertainment sector seems to have an uptick in analytics jobs this year, contributing to 7% of all analytics jobs as opposed to 4% a year ago. The sector has been traditionally a late adopter of analytics.
Image may be NSFW. Clik here to view.Education requirements for analytics recruiters have remained the same since last year. Almost 42% of analytics job openings are looking for a B.E./ B.tech degree in the incumbent.
26% analytics job openings are looking for a postgraduate degree and 10% are looking for an MBA or PGDM.
So, overall, 80% of all employers are looking to hire analytics professionals with either an engineering degree or a postgraduate degree.
9% analytics jobs are fine with any graduate degree.
Job openings looking for a CA account for merely 3%.
39% analytics job openings are for professionals with more than 5 years job experience.
There has been a significant increase in the requirement for senior analytics professionals last year. Job requirements for professionals more than 7 years experience increased from 17% of all analytics jobs in 2016 to 20% this year.
Analytics jobs in cities by experience level-
2-5 years of experience continues to be the most demanded experience level across all cities, averaging at 24% of job openings.
This is followed by 5-7 years of experience level for most cities, except Chennai where analytics recruiter are looking for mostly 1-2 years experience after 2-5 years.
In terms of change from last year, Delhi/ NCR saw the most change from 2016. There has been a significant increase in the demand for 2-7 years of experience level in Delhi/ NCR whereas the demand for less than two years experience shrank.
Pune also saw a dip in demand for 0-2 years analytics professionals – from 42% of analytics openings in 2016 to 33% this year.
The demand for R professionals is the highest among all analytics recruiters. Almost 36% of all advertised analytics jobs in India demand for R as a core skill.
Python skills comes second at 30% of all analytics jobs looking for Python professionals. Among statistical tools, open source programming tools have picked up the most in recent years.
Among visualization tools, Tableau skills are most in demand with 9% of analytics jobs looking for Tableau professionals.
The median salaries being offered by advertised analytics jobs in India is INR 10.5 Lakh/ annum.
Advertised salaries tend to be lower than actual salaries. We have earlier reported the median salaries of analytics professionals in India to be 11.7 Lakh.
28% of all analytics jobs offer a salary range of 6 to 10 Lakh, followed by 24% for 3-6 Lakh.
Almost 40% of all advertised analytics jobs in India are offering a salary of more than 10 Lakh
Captive centers/ GIC’s/ Back office have seen the highest growth in terms of analytics in last few years. Almost 56% of all analytics demand is with Captive centers in India. These are organizations that mostly utilize analytics for internal consumption (for primarily their global businesses).
MNC IT & KPO service providers follow next with 18% of all analytics jobs advertised this year. Domestic IT & KPO service providers.and consulting firms follow at 15% & 11% respectively.
Conclusion-
The fact that the number of analytics jobs has almost doubled from April 2016 to April 2017, is indicative of a positive trend that India is witnessing in terms of analytics and data science hiring. The study also throws an interesting perspective on the analytics hiring scenario as there are close to 50,000 positions in this field that are wanting for skilled analytics professionals. This brings a good news for newcomers as out of the total number of openings, 17% of companies are looking for freshers, whereas 39% of analytics and data science job openings are for professionals with around 5 years job experience.
Overall, it brings a constructive picture of analytics and data science jobs in India this year, especially for freshers or for professionals who are looking to make a shift into analytics industry.
Given the age of disruptive technologies, Artificial intelligence can definitely be termed one of the most promising one. As AI is traversing a path around all the major industries, be it healthcare, retail, banking, insurance or even in the battlefield, its popularity and adoption is unparalleled to any other technology.
With a lot of development in AI happening around the globe, India is coming up with equally unique perspectives on the field, as their other developed counterparts. Apparently, in India alone the number of start-ups booming in the space touches 200+, with investments flowing from all major investors.
AIM lists down 10 such emerging startups in the space that are leading the race. From HR, education and other analytics driven industries, these AI startups are making a headway in all the major sectors. So, here it goes (listed in alphabetical order).
A deep learning platform for enterprises to quickly build and scale AI apps and predictive models using Neural Networks, Arya.ai was started in 2013 by Vinay Kumar & Deekshith Marla. With a team consisting of researchers in Mathematics and computing, the AI platform by the company automates the complex data science tasks and scales up deep learning models, thereby reducing the time to go from building a Neural Network to scaling in production using cloud or on premise data center.
With tools like Drag and Drop, it makes it easier to create complex neural networks and its simulation tool expedite the model selection and deployment. The platform has an ecosystem of apps in verticals like Insurance – Claims automation, Risk analysis for P&C insurance, Banking – Anomaly Detection, Fraud classification; and Manufacturing – Energy prediction.
Set up in July 2016, Boxx.ai is a software provider that uses Artificial Intelligence to democratize analytics. It uses AI to build products that enable enterprises solve their most critical analytics problems. The products ensure quick results, significant business benefits, all in a pay-per-use pricing.
The intelligent scalable learning platform lets the user discover hidden patterns, constantly learns from every new piece of data and the algorithms genetically keep evolving by selecting the best response in a given scenario. AIDA, the first AI product by Boxx.ai, uses AI to personalize every customer touch-base across channels through real time recommendation, targeted communication and context led app notifications. It is built around its core “Individual identities” philosophy, where it combines powerful algorithms with simple UI that enables enterprises to easily on-board their data onto AIDA.
With increasing sophistication in systems that capture and store enterprise data, companies now face a new challenge i.e. to meaningfully utilize data to make faster and better business decisions. The company believes that we live in a world where typically 80% of all enterprise data goes unused, and a high number of time-sensitive insights are lost. Data that is stored, but not utilized, is a strain on businesses. And insights hidden deep inside the data, and lost, are a drag on their competitiveness.
With this background in mind, Cuddle.ai created a personal AI-driven analyst using sophisticated artificial intelligence and machine learning algorithms. Cuddle is geared to understand the business context, as well as its users’ individual responsibility areas. It aims to help business users make more informed decisions through data by delivering time-sensitive and mission-critical insights directly to the mobile devices of business users, in a hyper-personalized manner. Incubated by Fractal Analytics, Cuddle is available on SaaS model and with a monthly per-user license.
Founded in 2013 by Aditi Avasthi, Embibe is an AI platform for education outcomes that has traversed its way from being a data oriented company to AI platform for personalization. It offers guaranteed improvement in learning outcomes with behavioural interventions and bite sized learning driven from its unique knowledge tree. Over four years, they have fetched data signals space available for insights mining for JEE, NEET, and state boards and foundation exams.
The Data Science Lab at Embibe led by Keyur Faldu has around 50 man years of niche expertise in data mining, machine learning and artificial intelligence, where they have built a stack of AI models interlinked with data transformation and inference at every stage to build user and content intelligence. Content, Student and Mentor—all the three major verticals of education are built with AI models using self learning mechanism.
The unprecedented AI stack has enabled Embibe to create personalised learning experiences for students and institutions alike. It’s unique Platform as a service model provides service to institutes, schools or other even other online platforms. They have currently filed a patent on learning outcomes and is in the process of writing other patents for its ready AI modules.
Founded in 2012 by Arjun Pratap and angel funded by National Skill Development Corporation (NSDC) of India, EdGE Networks is an innovative HR technology solutions provider focused on helping organizations with their talent management needs. Their strength is in harnessing artificial intelligence and data science to solve the toughest workforce planning, workforce optimization, talent transformation and talent acquisition challenges faced by organizations.
They use Natural Language Processing (NLP) Algorithms with a Data Science and AI based approach to analyze job descriptions and profiles/resumes, and provide a scored and stack ranked set of people for the job in question. This is further bolstered with their ability to do this for an internal workforce and to acquire talent from portals. With the most cutting edge technologies, they have created a responsible and agile organization that is ready to partner with customers to build game changing HR tech solutions. They were recently picked by Google for the Google Launchpad accelerator program.
Launched in 2014, Haptik is India’s first personal-assistant app. Smartphone users, both Apple and Android, can download the Haptik app, which features artificial intelligence. It lets the users plan travel, check-in for flights, book cabs, and set travel reminders. The company believes that with Indians spending 75 percent of their smartphone time on a text or chat interface, they look into improving that experience by leveraging technologies such as artificial intelligence and machine-learning.
Founded by Aakrit Vaish, Haptik is India’s first personal-assistant app powered by an AI based chatbot platform to provide users with services like exploring nearby places, flight/taxi booking etc. This chatbot based startup follows agile principles and has not hesitated to experiment with the latest technologies out there in the market to emerge as a leader in the chatbot industry. It uses hybrid model that makes use of graph based approach along with neural conversational model to run it’s fully automated task oriented dialogue system.
Haptik recently open-sourced its Name Entity Recognition technology, Chatbot NER which it uses to recognize entities like location, budget, cuisines etc. from user conversation.
Locus is an intelligent logistics automation platform that helps local companies and enterprises courier, e-commerce, food delivery, FMCG and other verticals to optimize their logistics. It enables on-demand businesses to dispatch, track and manage their on-field workforce. With an aim to help manage deliveries, Locus provides mobile app for the on-field workforce to manage deliveries.
The product suite comprises of automated smart dispatches, route optimization, tracking and fleet visualization, field user app, proprietary geocoder, proprietary route deviation engine and predictive analytics. Effectively offering the entire technology stack, in the form of a platform as a service. It was founded by Nishith Rastogi and Geet Garg.
Netradyne, a startup pioneering in next gen commercial driver technology, focuses on leveraging artificial intelligence and deep learning to improve road and driver safety. Netradyne’s flagship product, Driveri, is a driver assistance and monitoring device whose features include Quad HD cameras, LTE, GPS, accelerometer, gyrometer, and a Deep Learning processing unit. The device is mounted on the windshield and using its onboard cameras and deep learning processor it analyses the driver performance. If the algorithm recognizes an ‘unsafe driving event’ it captures the video around that event and uploads it to the Netradyne cloud.
This data is then used to create a driver score and the associated video can be used to coach the driver to improve his/her driving habits. Netradyne’s technology can be leveraged for autonomous driving, but instead of taking control of the vehicle, Netradyne is using its algorithm and hardware to improve driver safety and reduce accidents by positively modulating driver behavior. It was founded in September 2015 by Avneesh Agrawal (CEO) and David Julian (CTO) with offices in Bangalore and San Diego.
Strongly believing in the fact that 50% of lives lost due to heart disease could be saved if diagnosed quickly, Tricog is providing real time cardiac diagnosis amplifying the work of few doctors to reach out to all patients worldwide. Tricog acquires physiological data and ECG’s from clinical and personal health devices and upload them to the cloud where in the next step, AI powered algorithms process the data and arrive at a diagnosis. A team of specialists work in real-time with the algorithm to verify the diagnosis which is then sent back the remote center.
Tricog has treated over 270,000 patients across 600 remote locations during which their AI engine has along side with the few specialists diagnosed over 14,000 patients with critical heart problems, thus directly saving lives. Tricog is present in over 306 cities/towns across 23 states, in some of the most remote locations in India, helping health care workers save lives. They have plans of expanding to Indonesia and Malaysia. It was founded by Dr Charit Bhoraj, Zainul Charbiwala, Udayan Dasgupta and Abhinav Gujjar in Jan 2015.
A data-driven energy efficiency company, Zenatix uses advanced machine learning based models to deliver up to 30% energy efficiency to large scale commercial consumers of electricity. The models are built by collecting and analyzing millions of previously unseen (“dark”) data points every day from electrical assets. These models allow for automated and intelligent controls along with predictive and preventive maintenance of these assets, resulting in consistent and comfortable consumer experience in retail and banking sites while delivering high energy savings.
With their first product WattMan launched in April 2016, it has inched closer to addressing energy efficiency problem across a range of customers. Wattman has a control over the electricity spends and addresses various challenges in an automated manner through its cloud based intelligent controls driven by advanced machine learning algorithms. The company is co-founded by Rahul Bhalla, Vishal Bansal, and Amarjeet Singh.
With an increase in data generation at individual level and at organizational level, the need for tools that can analyze these data has only increased. Deployment of analytics is becoming critical to a business and from performing simple tasks to sophisticated ones, they are relying extensively on analytics. It can even be said that, an increasing efficiency of tools and products specializing in data processing has resulted in growth of business analytics.
Either way around, there has been an extensive increase in the overall revenue generated by these companies, at an estimated $2.03 Billion annually and 23.8% of CAGR. India has also been making headways in analytics export in the form of various analytics services. With USA and UK being the major market for analytics export for India, its domestic market serves a total of 4% of analytics revenues.
The analytics industry is growing for sure and Analytics India Magazine in association with AnalytixLabs brings the Analytics India Industry study 2017 covering all the aspects of the analytics industry. The study is a result of extensive primary and secondary research conducted over a duration of two months.
Analytics/ Data science/ Big Data industry in India currently estimated to be $2.03 Billion annually in revenues, growing at a healthy rate of 23.8% CAGR.
Of the annual inflow to analytics industry – almost 12% can be attributed to advanced analytics/ predictive modeling and Data science
A sizeable 24% can be attributed to big data.
Analytics/ Data science/ Big Data industry in India is expected to almost double by 2020.
Geographies served-
In terms of geographies served, almost 60% of analytics revenues in India come from analytics exports to USA.
UK comes on a distant second at 8.4% of revenues.
India domestic market serves as a significant opportunity, with almost 4% of analytics revenues coming for Indian firms.
In terms of Sector type, Finance & Banking continues to be the largest sector being served by analytics in India. Overall, 37% or $756 Million in revenues to analytics industry in India comes from Finance & Banking.
Marketing & advertising comes second at 26%, followed by E-commerce sector at 15% of analytics revenues in India.
In comparison to the last year, Pharma & Healthcare saw the biggest jump in analytics revenues, from $103MM to $137MM, a jump of 34%.
Finance & Banking saw an increase of 31% vis-à-vis last year.
28% or $565 Million in market size for analytics industry comes from Delhi/ NCR. This is closely followed by Bengaluru at 27%.
The highest increase in year on year analytics revenues for an Indian city comes from Hyderabad, from $134MM in 2016 to $178 this year; an increase of 33%.
Top 10 universities/ schools that analytics professionals in India graduate from are
University of Mumbai
Delhi University
Kendriya Vidyalaya
University of Pune
Indian Institute of Management, Calcutta
Indian Institute of Management Bangalore
Indira Gandhi National Open University
Indian School of Business
SVKM’s Narsee Monjee Institute of Management Studies
Indian Institute of Technology, Bombay
Almost 18% of analytics professionals in India graduate from these 10 universities/ Schools.
57% of analytics professionals have a Master’s/ Post Graduation degree, same as a year earlier.
3% of analytics professionals in India hold a PhD or Doctorate degree, again similar to a year back.
Women participation in analytics workforce remains low – just 24% of analytics professionals in India are women.
Company Size
Almost 40% of analytics professionals in India are employed with large sized companies – with more than 10K total employee base.
Mid size organizations (total employee base in range of 200-10K) employ 33% of all analytics professionals in India.
Startups (less than 200 employee base) employees 27% of analytics professionals in India.
Startups have significant contribution to overall output of analytics in India. Even though small in absolute term, the overall impact is increasing significantly with small to mid size organizations in India.
The current situation of analytics industry presents positive picture as is suggested by the study. The numbers are suggestive of the fact that India is emerging as one of the top destinations for analytics with everything from analytics education to job opportunities showcasing satisfactory numbers.
The study suggested that, of the annual inflow to analytics industry, almost 12% can be attributed to advanced analytics, predictive modeling and data science. It also says that analytics industry is expected to almost double by 2020, which would mean an increased opportunity for professionals dwelling in this space.
The study overall is representative of a booming analytics industry in India and as the numbers suggests, it is expected to grow sizably in the future too.
As the analytics industry is touching every sector, there has been a rise in analytics product providers from India, who with their innovative products are working on easing down various processes for these industries. Visualization, business intelligence, artificial intelligence, machine learning are some of the areas that the companies are exploring to come out with unique analytics products. From start-ups to big firms, there are many companies from India bestowing products in this space. Analytics India Magazine brings to you 10 such products from India that made it big over the years.
Sapience is an innovative People Analytics @ Work solution. At the individual level, it empowers users to own their productivity and wellness through mindful work. At the enterprise level, managers and CxOs get accurate Workload Pattern and Capacity Utilization insights across every business dimension of interest, enabling them to align their talent pool to strategic needs. With its products, Sapience is helping over 100,000 users at 70+ enterprises across 12+ countries to move the needle on employee engagement, employee wellness, organization productivity and business profitability.
Sapience Buddy brings amazing features to manage time by setting goals, getting automated updates and by bringing personal assistance to keep you on track. Whereas with Sapience Enterprise, it ensures employee engagement, wellness, productivity and profitability.
Capillary Analytics, a self-serve BI tool helps over 200 organisations across the globe to embrace the power of analytics for daily decision making. The platform makes it very easy to get started by providing out of the box ETL and BI solutions to collect, link, clean, transform and visualise data.
The Omni-channel data—offline stores, online stores, digital campaigns, CRM etc. that flows to the system allows to drill downs on all dimensions, thereby helping businesses make critical decisions more efficiently. In-memory big data technology combined with powerful visualisation provide insights in seconds fuelling business growth. Its powerful web interface, with simplistic UI helps in solving the most complex data problems effortlessly. Its multi-platform mobile app helps in getting data and insights on the go.
The product has an AI based Automated Insights System that keeps a watch on the business, identifies problem areas and recommends campaigns and a ML based Product Recommendation Engine that combines online and offline data to provide the most accurate product recommendations across all channels.
Gramex is a visual intelligence platform that helps organizations and clients analyse data and consume insights. The platform is a pure custom-built, with the bulk of the code written in Python and leverages the analytical libraries optimized for speed, coupled with visual libraries optimized for best-in-class data visualizations.
The in-built data connectors source data from a variety of files, databases or third-party systems that provide APIs to pull in data. Its component libraries are a collection of components that provide visualisation and analytics support, whereas analytics library provides support similar to R or SAS but with a business focus. Third party analytics systems such as R, Hadoop, SAS, etc. can be integrated directly to leverage existing workflows.
Visualization library helps transform the analysed (or raw) data into pictorial representations with third party visualisation libraries such as D3, Three.js, etc. included with data & analytics integration. It is also available for several other libraries such as Raphael, Circos, etc. To ensure security, the application is not designed to persist any data and all computations happen in-memory.
TEG’s HealthWorks, a solution powered by publicly available healthcare data and machine learning algorithms, helps payers predict in-market performance within five business days from the release of plans. With such an unduly advantage, payers can make reallocations into their marketing plan.
It reads the entire industry landscape to understand the competitiveness of the products. The process involves exhaustive data preparation, a judicious mix of traditional and advanced machine learning techniques and visual analytics. HealthWorksTM platform is cloud based, that provides access to multiple business users across the insurer’s organization and help them make their own decisions through a self-serve interface.
HealthWorksTM is used by finance, product, and marketing teams to reallocate the marketing spends based on their predicted potential in each of the markets.
Nanobi liquiData Platform is a full stack analytics platform created with agility and simplicity in mind, allowing organizations to create and launch analytics applications with ease and speed using published REST API interface. The platform allows the development of highly focused and interconnected analytic apps through the concept of Nanomart.
With its REST API architecture and Nanomart paradigm, organizations can start small and then make rapid changes to their applications. Nanobi liquiData comes with a very user-friendly interface and an interactive and visual full-stack platform. The platform can be deployed as a cloud-based tool or installed as an on premise application.
It can be easily embedded and integrated with other systems, thanks to its REST interface. Aside from the streamlined development of analytical applications, it delivers a rich trove of curated data for several industries, giving users that distinctive data-driven competitive edge.
Manthan Maya is the world’s first AI-powered conversational agent for business analytics. It enables users to interact with sophisticated enterprise analytics applications as if they were human, using natural language and receive AI-powered insights for decision making on-the-go.
Targeted at CEOs and senior executives, Maya helps them get business insights instantly, whether at home or at their desk easily using a voice interface, instead of relying on a team of data analysts or IT experts. Through a conversation with Maya, a business executive can instantly get data-driven answers to any business questions.
It is the first of its kind and brings paradigm shift in the way users interact with a complex business system. Maya can understand intent, sift through millions of data points, slice, dice, analyse them using sophisticated analytics models and respond with personalized answers based on a user’s role and context in seconds. Under the hood, Maya leverages Natural Language Processing (NLP), Intent Analysis, Machine Learning and Deep Learning to process queries.
A unified data analysis platform, Formcept helps enterprises derive actionable insights from large volumes of external and internal data quickly, thereby, significantly reducing the data-to-decision conversion time. The analytics products by Formcept helps in making of the largely unstructured data from external source, enable smarter decision making, among others.
MECBOT by Formcept is an Open Cognitive Platform that is transforming the way data analytics, machine learning, deep learning, artificial intelligence (AI), and predictive analytics interact with each other on a near real-time basis.With its semantically harmonized smart data-lake and Dynamic Business Ontology, MECBOT empowers faster insights for mission-critical decisions.
Whereas IntelliDevice activates industrial machines and equipment to send high-velocity data on performance and usage to cloud. Here, MECBOT analyses it to generate quick actionable alerts and event-triggers. With IntelliDevice, they aim to enable industries of tomorrow through interactive and intelligent machines.
‘pi’ is a Next Generation Data Analytics Platform from ProGen that helps users with their data discovery, analytics, and advanced visualization needs. With a variety of new age features that enables users to venture beyond conventional Descriptive Analytics, ‘pi’ helps users explore the realms of diagnostic, predictive, & prescriptive analytics thereby differentiating it from other traditional BI & Visualization tools.
‘pi’ has a state-of-the-art machine learning & recommendations engine that provides users with actionable business insights for pro-active decision-making & also helps in configuring various predictive analytics scenarios.
While conventional data analytics tools focus around displaying growth or de-growth of key metrics in the form of dashboards, visuals, or reports; ‘pi’ raises the bar with help of its proprietary algorithms to automatically identify various influencers that impact the growth or de-growth of key metrics. ‘pi’ also has strong capabilities around What-if Modelling and Simulation Workbenches that helps users perform different types of scenario configurations.
It has a strong customer-base spreading across different Industry verticals. Few business areas where customers have got benefited include: identification of opportunities for revenue growth, business risk identification, identification of potential leakages that can lead to cost savings, and improving customer retention/satisfaction.
Sales Decision Engine is the AI powered sales enablement suite by BRIDGEi2i that helps transform sales organisations by enabling better visibility, accurate forecasting, actionable insights, and improved effectiveness for sales leaders, sales ops teams, and sales reps. SDE easily integrates with CRM systems and can be customised as per business needs owing to its flexible and scalable architecture. SDE has been featured by Gartner in its Market Guide for SaaS-based predictive analytics applications for B2B sales and marketing.
SDE’s modules leverage advanced machine learning algorithms and artificial intelligence and address sales processes across the funnel. Some of it’s key benefits are:
Provide complete visibility across customer segments, sales, revenues, and pipelines
Deliver accurate and reliable sales predictions
Identify opportunities that are most likely to convert
Enable sales teams to identify and measure areas that need improvement
Suggest strategic interventions to improve their success rate
A part of Mahindra Group, MachinePulse™ provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet of Things (IIoT). They offer complete range of products from industrial grade data acquisition devices to a robust and scalable cloud platform, which can be deployed together or into existing IoT workflows with full flexibility.
SolarPulse™ is MachinePulse’s flagship product which is a comprehensive solar PV asset monitoring and management application, developed for both utility scale and rooftop solar PV plants. Currently on its fourth version, it incorporates advanced monitoring capabilities, predictive analytics and asset management via an easy-to-use interface.
WindPulse™ on the other hand is advanced wind farm analytics solution. It predicts generation, equipment health and helps efficiently manage the entire wind portfolio with an interactive user interface. It uses specialised machine learning algorithms to improve the overall productivity and revenue of wind farms. Both WindPulse™ and SolarPulse™ is powered by Erixis™, their artificial intelligence engine based on the Internet of Things platform.
Each year we come out with our study of Analytics firms in India. The goal is to put numbers into the scale and depth of how various organizations around analytics and related technologies have surfaced in recent years.
Last year has since the biggest jump in the number of companies in India working on Analytics in some shape and form. More than 5,000 companies in India claim to provide analytics as an offering to their customers. This includes a small number of companies into products and a larger chunk offering either offshore, recruitment and training services.
There is growth rate of almost 100% year over year in the number of analytics companies in India from last year.
Moreover, the number of analytics companies in India are still very few in number, compared to the strength of analytics companies around the globe. In fact, India accounts for just 7% of global analytics companies. This is down from 9% last year.
Artificial Intelligence is no more a buzzword. It has grown over the years to be the most disruptive technological trend in recent years, with tech behemoths racing to prove their supremacy in this space. Its evident, that the future race for tech is dependent on pretty much who takes over this industry.
Across all the frenzy that we are seeing around AI, where does India really stand in this space? Tech outsourcing has always been a strong forte of India, especially in the space of enterprise technology servicing. In this independent study, we try to bring in some metrics around AI industry in India. We look at AI in India as an industry from a very bird’s eye view perspective – without dwelling into the nitty gritty of how it is shaping up but more on what the numbers are telling us.
Also, an important piece to keep in mind while reading these numbers is that AI has a lot of overlap with Analytics/ Data Science industry; atleast the underlying algorithms and methodologies. So, the numbers might also reflect some biases towards analytics industry as well as rebranding of a lot of data science work into being called as AI. Yet, the whole idea to do this study, is to put some sense into the current chaos around AI.
Key Trends-
Artificial Intelligence Industry in India is currently estimated to be $180 Million annually in revenues.
There are approximately 29 Thousand AI professionals in India.
The average work experience of AI professionals in India is 6.6 years.
Around 2,400 fresher were added to AI workforce in India this year.
Almost 55% AI professionals in India have a work experience less than 5 years.
Top universities/ schools that AI professionals in India graduate from are
University of Mumbai
BITS, Pilani
IIT, Kharagpur
University of Pune
IIT, Delhi
IIT, Bombay
IIT, Kanpur
Delhi University (321)
IIT, Roorkee
Almost 38% of AI professionals in India are employed with large sized companies – with more than 10K total employee base.
Mid size organizations (total employee base in range of 200-10K) employ 30% of all AI professionals in India.
Startups (less than 200 employee base) employees 33% of AI professionals in India.
AI Companies in India
More than 800 companies in India claim to work on AI in some form. This includes a small number of companies into products and a larger chunk offering either offshore, recruitment and training services.
Moreover, the number of AI companies in India are still very few in number, compared to the strength of AI companies around the globe. In fact, India accounts for just 6% of global AI companies.
On an average, Indian AI companies have 188 employees on their payroll.
Almost 84% of AI companies in India have less than 50 employees.
The average salary in AI Professionals in India for year 2017 is INR 14 Lacs across all experience level and skill sets.
On average, AI professionals receive around 20% higher salaries than Analytics/ Data Science professionals in India.
Almost 42% of AI professionals have salaries under 6Lakhs.
27% AI professionals in India earn in the salary bracket of 10-25L and almost 5% AI professionals earn more than 50L.
AI Jobs in India
While, it is difficult to ascertain the exact number of AI jobs openings; by our estimates, close to 4,000 positions related to AI are currently available to be filled in India.
The top 5 skillsets that AI Employers are looking for are Machine Learning, Natural Language Processing, Neural Networks, Analytics, Pattern Recognition.
Compared to worldwide estimates, India contributes just 7% of open jobs opening currently. The no. of jobs in India are likely to increase much faster vs. the rest of the world as more AI related projects get outsourced to India due to lack of skills across the world.
10 leading organizations with the most number of AI opening this year are – Accenture, Wipro, Adobe, JPMorgan, Accenture, Amazon, SAP, L&T Infotech, Nvidia & Intel.
In terms of cities, Bengaluru accounts for around 37% of AI jobs in India.
Delhi/ NCR comes second contributing 23% AI jobs in India and approximately 13% of AI jobs are from Mumbai.
Amidst the growing number of institutes that are offering analytics courses, it often gets overwhelming as to which is the right one for you. Answering the same, we bring to you our annual ranking titled ‘Top 10 Analytics/Data Science Training Institutes in India’, that lists top 10 institutes for this year you can vouch for your analytics needs.
This is the sixth consecutive ranking by us and successfully provides insights into analytics education world. In an intensive analysis of over two months, these institutes were minutely analyzed on various parameters to come up with the ranking. These five parameters are— Course Content, Pedagogy, External Collaborations, Faculty and Other Attributes like, Placement Assistance, Virtual Labs Events, LMS, etc. Each of these parameters were allotted ratings on the scale of 1-5, where 5 is for the best and 1 for the worst.
This is an independent Study by Analytics India Magazine and is based on
information that institutes shared with us. This ranking is for the personal information only and is intended to serve as a guiding post for students in their search for analytics institutes. Students are advised to do their own research since their are various other factors that come in picture for a subjective decision making on the institutes.
Please note, just the training institutes offering analytics courses have been considered and universities / B-schools offering analytics programmes are not a part of this ranking.
Jigsaw Academy continues to be the leading analytics training provider in India, backed by strong focus on online learning and external collaborations. Also, being one of the early players in this space helps in ensuring that the material is industry relevant at all times and come with frequent updates. Founded by the duo of Gaurav Vohra and Sarita Digumarti, and funded by Manipal Global Education Services (MaGE), Jigsaw Academy has helped over 40,000 students in 30+ countries to build a successful career in analytics with their specialized industry oriented courses.
Course Content (Rating 4.7): Course content is driven by the unique CATALYST method that offers case study workshops, industry driven contests, live interaction sessions, industry webinars, live projects, internships and placement preparation. Suited for fresher and working professionals, it covers all aspect of data science and machine learning in one course. It strongly aligns to job roles in data science, training in skills starting from problem articulation through data extraction, data wrangling, EDA, model building, and insight generation.
Pedagogy (Rating 4.7): The CATALYST approach is Jigsaw Academy’s unique training methodology that enhances career growth. This methodology provides a student everything that is needed to grow as a skilled professional.
Faculty (Rating 4.7): The faculties comes with rich industry experience, across the domain and industry.
External Collaborations (Rating 4.8): One of the very strong points for Jigsaw, It has external collaborations with University of Chicago, SDA Bocconi, Asian Institute of Management, IBM and corporates such as Gramener, Microsoft, Adobe, Cognizant, Reliance, HCL, Genpact, Mahindra, Maersk, Applied Materials, WNS, Swiss Re, Societe Generale, GSK, Citibank, Flipkart, Nokia.
Other Attributes (Rating 4.7): It offers extensive placement assistance and job postings for Jigsaw students that don’t have previous experience in analytics. It also conducts mock interviews, live contests and offer question banks. Students can connect through Jigsaw learning center, at any time.
Cities of Operation: Global, with classroom options in Delhi-NCR and Bangalore
Flagship Analytics Program: Business Analytics 360, Advance Big Data Science
Mode of Delivery: Both Online and Offline
Cost of the Program: INR 42,000 + taxes for Business Analytics 360 and INR 40,000 + taxes for Advance Big Data Science, both for a duration of 6 months with live classes on each Saturdays and Sunday
Website: www.analytixlabs.co.in
AnalytixLabs is a leading capability building and training solutions firm led by McKinsey, IIM, ISB and IIT alumni with deep industry experience and a flair for coaching. In addition to individual professional training, they have also delivered training programs for reputed clients, like American Express, BlackRock, Cisco, EXL Services, Genpact, Jabong, Kotak, Snapdeal, Times Group, Tech-Mahindra and Indian Army.
Course Content (Rating 4.7): AnalytixLab’s courses are meticulously mapped to various job roles rather than focusing on just making the students learn tools. The courses are designed and validated by seasoned professionals themselves. Periodic updates are made to the list of courses, and the courses themselves to match with the evolving analytics industry.
Pedagogy (Rating 4.6): Their courses are designed and delivered in such a way that it provides experiential learning to the candidates. The structure of the course is aligned to a typical project flow in analytics. They demonstrate use cases from close to real-life situations so that the students are fully prepared once they get to their jobs.
Faculty (Rating 4.7): It boasts a faculty to student ratio of 1:30, with 15 of them having core industry experience. Their team together has over 50 years of experience in analytics and consulting, and the trainers have experience with leading firms like McKinsey, Deloitte, Genpact, Fidelity and Facebook.
External Collaboration (Rating 4.6): One of their biggest collaborations has been the partnership with Asean Data Analytics Exchange, Malaysia. This collaboration is recognized with the HR Ministry of Malaysia and they have already started delivery of programs there.
Other Attributes (Rating 4.6): Post successful course completion, candidates are offered assistance for profile building, followed by preparation for interviews. It also has the concept of job referral which are based on the requirements from various organizations, HR consultants and large pool of AnalytixLabs’ ex-students working in various companies. The students can also register to a discussion forum through the Integrated Learning Management System, where they can also access live classes, recordings and study material.
A new entrant to the list this year, Upx has quickly moved up the rank and have showed the promise of being a leading education provider in the analytics space. An edtech platform powered by IT major Tech Mahindra, UpX Academy helps individuals and businesses move up in life by providing cutting edge training in big data, data analytics & machine learning.
Course Content (Rating 4.5): The Data Science Certificate Program covers a broad array of topics such as data extraction, exploratory data analysis, machine learning algorithms, python, NLP, advanced deep learning and many more. It provides opportunity to undertake projects on real-world data-sets from companies such as Amazon, Twitter, Walmart. Suited for professionals with experience of 1-20 years, it gives hands on exposure to students by giving an access to cloud lab.
Pedagogy (Rating 4.5): It has a diverse range of faculties with a combined experience of 40+ years in the industry.Along with conceptual learning, the candidates are given hands on exposure with the relevant subject matter using case studies and real life examples.
Faculty (Rating 4.5): The faculty department is adorned with experienced professionals in the field such as Ratnakar, who is a seasoned analytics professional with 14+ years of data science and analytics experience and currently heads the analytics department at Kabbage, CVG who is the principal data scientist at HP, Suchit who is a machine learning and IoT expert and Arun who is instructor for Tableau and is also a part of the product development team at UpX Academy.
External Collaboration (Rating 4.6): Upx is powered by IT major Tech Mahindra.
Other Attributes (Rating 4.5): Guiding the candidates for employment, they help them craft resumes highlights the skills they have acquired correctly. Secondly, they conduct a lot of industry immersion sessions, bringing people from the industry to interact with students. Third, whenever organizations have any requirements, they float these job descriptions in student community.LMS is a key highlight where they upload recordings of every class. They also have thriving discussion forum in the LMS.
Edvancer is one of India’s top analytics training institutes, providing training in analytics, data science & big data globally, and has trained over 5,000 professionals. It is an IIM-IIT alumni venture and is an online analytics knowledge hub designed to meet the learning needs of all kinds of professionals interested in analytics.
Course Content (Rating 4.4): Suited for both fresher and working professionals, the course is designed to provide significant hands-on capabilities to students through the use of real case studies and multiple projects. Senior data scientists from top companies in the industry are selected to be Edvancer’s faculty, who have 4-10 years of experience in the industry. Students have a life time access to all the course material and videos.
Pedagogy (Rating 4.5): It has live instructor led online classes, delivered by the industry experts. Students are ensured a complete interaction with the trainers and other participants though voice and chat, which means the virtual classrooms work just like a normal class.
Faculty (Rating 4.8): All of Edvancer’s faculty are industry professionals with anything between 5-10 years of experience in this field. They are rigorously evaluated and then trained extensively in the online pedagogy before they take classes. A total of seven faculties also have Phd. The faculty to student ratio is 1:10.
External Collaborations (Rating 4.4): Edvancer has partnered with Wiley, the world’s largest education provider for a globally recognized certification in Big Data and Hadoop.
Other Attributes (Rating 4.6): It offers placement assistance to its students through its wide industry network including companies like Cognizant, Happiest Minds, Hansa Cequity, TCS, ICICI Lombard, Accenture, L&T, HCL, Wipro, etc. They also have discussion forums and Q&A forums on their LMS, along with whatsapp groups for each their students and the faculty.
Geared towards fulfilling contemporary and complex demands of industry, the curriculum of INSOFE stems from research led by the in-house team of 20+ strong data scientists who work on cutting-edge research and industry leading projects spread across verticals.
Course Content (Rating 4.4): INSOFE’s course curriculum is specially designed to meet the industry requirements. It is designed such that, it throws light on both conventional methods as well as cutting edge technology. The program aims to deliver Big Data Analytics and Optimization Certified, industry ready professionals with high expertise and problem solving skills.
Pedagogy (Rating 4.5): INSOFE’s Pedagogy is at par with the premier universities in the world and to complement that, CMU (Carnegie Mellon University) quoted INSOFE’s program to be equivalent to that of its own. The curriculum is designed such that it is based on the requirements and inputs taken from 3 stakeholders i.e. the industry, Universities and fellow practitioners.
Faculty (Rating 4.9): 100 % of INSOFE faculty hold PhD from some of the world’s top universities. With a faculty to student ratio of 1:10, INSOFE faculties have rich and unparalleled industry experience in senior leadership, consulting and advisory roles.Two of INSOFE’s mentors, Dr. Dakshinamurthy V Kolluru and Dr. Sreerama K V Murthy, have been listed among the ’10 most prominent analytics academicians in India’. All INSOFE mentors hold PhDs from world’s top Universities like Carnegie Mellon University, University of Texas – El Paso, State University of New York – Buffalo, University of Pennsylvania, University of Texas – Austin and IIT Bombay. All mentors have numerous publications in international journals.
External Collaboration (Rating 4.4): INSOFE’s Big Data analytics and optimization program is the only one in Asia to be certified for the quality of Content, Pedagogy and Assessment by the Language Technologies Institute (LTI, ranked #1 in the world in the area of computer science) of Carnegie Mellon University, USA.
Other Attributes (Rating 4.4): It facilitates Almaconnect, an online portal forINSOFE alumni to stay connected with each other and keep in touch with INSOFE from any part of the world. In addition to being a full-fledged classroom system, INSOFE uses piazza an online learning platform that helps students gather, learn and explore under the guidance of an instructor.
IMS Proschool, in association with MSTB – Govt. Of Maharashtra offers Data Science Program and has trained more than 300,000 candidates for various professional courses in finance, accounts and analytics.
Course Content (Rating 4.2): The program is divided into three terms with first term including basic statistical concepts, excel proficiency, regression, market basket analysis, clustering, second term talking about SQL database, Hadoop, Python, tableau, while the third term includes the concepts of machine learning, text mining, marketing analytics and retail analytics.
Pedagogy (Rating 4.3): Course is prepared with inputs from practitioners and professionals in the academic and consulting side of business analytics, and suits professionals even if they don’t have prior IT or domain knowledge. They adopt a case study based approach to training with hands on assignments with data sets.
Faculty (Rating 4.3): Faculties are graduates from premier institutions like IIMs, IITs, ISB, and some of them are founders of start-ups working in analytics industry. They have tied up with Mettl (India’s leading company in Online assessment software for training and Certification) for conducting assessment using analytics tools such as R & Python in controlled environment. They have a team of faculty members with faculty to student ratio of 1:20.
External Collaboration (Rating 4.7): They have a collaboration with MSTB Govt. of Maharashtra, additional certification from NSE Academy, academic collaboration with more than five analytics consulting firms for content development, delivery and projects and with NSDC- National Skill Development Corporation, an initiative of Skill Ministry- Government of India.
Other Attributes (Rating 4.2): It provides placement assistance to the candidates who successfully complete the program. Along with assistance, it also helps candidates in resume building & interview preparation. Every student has an access to Q&A forum which is updated regularly, and they also have a whatsapp group with faculty and candidates. They have a LMS available on both desktop and mobile.
Headquarter: Kolkata, West Bengal with offices in Bangalore, New Delhi and Pune.
Year of Inception: 2007
Cities of Operation: Bangalore, New Delhi, Kolkata and Pune through the class-room mode. Students from rest of the cities can attend the classes via Live online mode.
Flagship Analytics Program: Data Science with Machine Learning Certification Program
Mode of Delivery: Both Online and Classroom. Class-room programs in cities like Kolkata, Bangalore, Delhi, and Pune, while online in rest of the cities.
Cost of the Program: INR 56,462 (including taxes) for a duration of 250 hours
Since 2007, Ivy Professional School has trained 14,500+ students and professionals from elite colleges and companies like Oracle, Accenture, IBM, GE, KPMG, Deloitte, Moody’s, Infosys, etc. It is the official learning partner of large corporates like Genpact, Capgemini, HSBC, PwC, ITC Ltd. etc. and has launched a unique “Learn Now, Pay when you Earn” study option for merit based career acceleration.
Course Content (Rating 4.1): For individual participants, Ivy offers industry endorsed comprehensive course packages such as Business Analytics Certification (200 hours) including statistical modeling, excel dashboards, VBA, SAS, R, SQL etc.
Pedagogy (Rating 4.3): Ivy follows a ‘See-Act-Interpret-and-Assess’ model to train the students. It focuses on right amount of theory and concept coverage using carefully designed reference materials, ensuring that participants understand the concepts without having to go through several books.
Faculty (Rating 4.2): It has 100% faculty with industry experience and 25% with PhD. Ivy’s core faculty team comes with 100+ years of data science, analytics & consulting experience and has experience with leading organizations like Genpact, AMEX, Deutsche Bank, Mu Sigma, HSBC, Capgemini, MarketRx, Cognizant, AC Nielson, etc.
External Collaboration (Rating 4.1): Ivy has trained several batches of post-graduate students from Calcutta University, Jadavpur University, a few US Universities, and a few other Indian universities as an industry partner of Genpact’s Risk Academy program in India and in the USA. It launched an Executive Quantitative Risk Analytics Program with Genpact.
Other Attributes (Rating 4.4): 100+ analytics companies have recruited Ivy’s candidates through Ivy’s dedicated Career Centre team. Its students have lifetime access to Ivy’s analytics exclusive job portal. It prepares for the interviews by mock interviews and case studies. It also has virtual labs, cloud hosted labs to help participants to practice remotely on large datasets. Ivy has partnered with IIFT Kolkata to organize an annual analytics hackathon – Enigmatics
Founded with an aim to become India’s leading Analytics professional education company, Imarticus empowers individuals and large organizations in meeting their human capital and skillset requirements through a range of bespoke programs delivered via classroom and online platforms. Imarticus has educated over 20,000 individuals globally.
Course Content (Rating 4.1): It covers foundational concepts and hands-on learning of leading analytical tools, such as SAS, R, Python and Tableau through industry case studies and project work. Over the course of the 5 semesters, candidates will not only gain theoretical knowledge of data science tools, but also gain exposure to business perspectives and industry best practices through guest lectures and multiple project submissions. The program has been co-created with Genpact.
Pedagogy (Rating 4.1): The programs are extremely practical and hands-on, which ensures that candidate is equipped with the required skill sets to master job responsibilities from the day one. They adopt the concept of experiential learning i.e. learning through experience. They have curriculum designed to cover both conceptual and practical applications.
Faculty (Rating 4.5): With a faculty to student ratio of 1:15, it has a total of five faculties with PhD and 12 with industry experience. Some of the indicative faculties are Arun Upadhya with over 14 years experience in IT, Mohan Rai, who has 10+ years of experience and is currently is a Director for S & R Analytics involved in Delivery of Analytics Consulting/Training and SIP Partners of TCS.
External Collaboration (Rating 4.1): The DSP program at Imarticus is endorsed by Genpact, a global leader in digitally-powered business process management and services. Genpact contributes in the periodic review to ensure a curriculum that is timely and relevant, and futuristic.
Other Attributes (Rating 4.2): The Career Assistance Services (CAS) team at Imarticus provides 100% support throughout the program to guide and help navigate ample career options. Resume building, mock interviews and placement portal are some of its key highlights. It also has built a Center of Excellence around analytics, that involves an Industry Eco-system to steer product design and engage with the industry at large.
Founded by industry professionals from MNCs like Standard Chartered, Goldman Sachs, S&P and Accenture, EduPristine is known as a Premier Finance Training Provider around the world.
Course Content (Rating 3.6): The Business Analytics course by EduPristine offers data mining, predictive modeling, predictive analytics, logistic regression, tools like R and Excel, etc. Distributed in three different modules, it covers all the aspect of analytics and basic statistics such as type of data variables, central tendency, random variables etc. followed by a case study.
Pedagogy (Rating 3.7): The Online training is 8 days with 24 hours online live instructor based training. It has 65+ video tutorials of over 1200 minutes created by topic experts. Whereas the classroom training is 50 hours weekend sessions that allows candidates to get trained by topic experts with interactive learning in small batches.
Faculty (Rating 4.4): They have a faculty to student ratio of 1:30 with 69 faculties with PhD. All faculty have a relevant experience of about 5 to15 years in their respective fields. It flaunts a mix of academic and industry experts such as those who have worked on large analytics projects for Fortune 500 companies in retail, media, telecom, banking, insurance etc. All Faculty have esteemed qualifications like M.Sc, BE, MBA from IIMs, Tier 1 MBA Institutes, IITs, BITS
External Collaboration (Rating 3.9): EduPristine has a collaboration with Dun & Bradstreet, world’s leading provider of global business information, knowledge and insight. It offers a wide range of solutions for Risk & Finance, Operations & Supply, Sales and Marketing professionals.
Other Attributes (Rating 4.5): They have 100% placement assistance and online forums on their website to get the doubts solved by experts within two business days. Students can also initiate a discussion by posting it on active forums.
Nikhil Analytics was started in 2012 by two IBS Alumni, with a motto to train with rigor and produce industry ready candidates so that they are not only placed but also able to survive in organization they work for. Till date they have made the career of thousands of candidates.
Course Content (Rating 3.5): They provide hand on training on R, Python, SQL, Tableau, Excel with VBA, SAS, Statistical Modelling, concepts on Machine Learning. They cover the training keeping in mind the industry requirements and keep on updating the course content on regular interval. Their course focuses on data science, modelling, machine learning, data visualisation.
Pedagogy (Rating 3.6): They provide training in pure hands on mode where students use their own systems. First concepts are explained then based on explained concepts, candidates are assigned practical work, which is followed by giving test.
Faculty (Rating 3.9): They have a Faculty to Student ratio of 1:10 with a total of 6 faculties with industry experience. All Faculties hold highest degree of MBA/MTech with B.Tech and additional certificate programs from Universities of repute such as MIT, US and NTU, Singapore.
External Collaboration (Rating 4.1): They have a collaboration with Nanyang Technological University, Singapore (NTU Singapore) for providing training on Advanced Machine Learning from this year and their students have travelled to the university to get required training and certificate.
Other Attributes (Rating 4.4): They provide 100% placement assistance. To ensure that students do well in the interview, they conduct mock interview sessions before processing resumes.
The overall rating is 3.90
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Analytics industry in gaining importance in India and is being deployed across various sectors such as banking, finance, e-commerce, retail, and telecom. Tapping on to the growing analytics industry, the study gives us a quick insight into how the analytics scenario is evolving in the domestic market.
This year’s study has been co-presented byCartesian Consulting, a global analytics services firm specialising in customer, marketing, and business analytics. We looked at 20 large Indian firms across industries that have adopted analytics to improvebusiness.
There are three major players — service providers (who provide analytics services to the endconsumer), captive centres (back offices that do outsourced work) and the domestic market. Service providers have been dominating the analytics market (their share of the market is ~75%) for quite some years and it is only now that the other two players are becoming equally competent. In fact, the domestic market accounts for just 5% of the Indian analytics market. Armed with their own analytics team, these firms use analytics for their internal processes.
Key findings
Like last year, it is the private banks such as Kotak Mahindra Bank, Axis Bank, ICICI, HDFC, Yes Bank that are deploying analytics extensively. Among the public banks, SBI is the most analytics savvy. In the insurance space, Max Life Insurance leads the pack.
Among the ecommerce players, the frontrunners are Flipkart and Ola, while Patym and Zomato lag substantially.
In telecom, Idea Cellular has embraced analytics faster than big players like Bharti Airtel.
In the automobile sector, Mahindra Group and TATA Motors are upping the game.
Considering the relative focus on advanced analytics by other conglomerates, Aditya Birla Group, Reliance Industries, L&T, ITC have a decent focus on analytics.
Analytics at Indian firms – Key trends
44% of all analytic functions for Indian firms are based out of Mumbai.
Almost 85% of analytics functions are based out of just three cities – Mumbai, Bangalore & Delhi/NCR.
The top 10 schools from which Indian firms recruit their analytics teams are: University of Mumbai, Delhi University, NMIMS, IIM Calcutta, The Institute of Chartered Accountants of India, IIM Lucknow, IIM Bangalore, IIM Ahmedabad & ISBHyderabad.
On an average, Indian firms have an analytics penetration of 1.7%. This essentially implies that for every 59 employees in the organisation, one employee is associated with data and analytics.
Analytics penetration is typically higher in new age ecommerce firms and lower in traditional businesses.
The average tenure of analytics professionals in Indian firms is 3.4 years.
TATA Motors boasts the highest tenure amongIndia firms, whereas new age ecommerce start-ups have a much lower analytics tenure.
On the other hand, advanced analytics/ datascience as a percentage of total analytics function is higher in new age ecommerce firms in India and lower in traditional firms.
On an average, analytics professionals in Indian firms have 8 years of work experience.
Zomato has the lowest seniority in terms of analytics professionals in India firms.
Analytics Penetration vs. Maturity- Conclusion that can be made from Graph
Like last year, there is a slight negative correlation between maturity and penetration.
Flipkart is the only company in the first quadrant, which implies it is both high on penetration and maturity. Given Flipkart was amongst the first companies in the ecommerce space to adopt analytics, it has ramped up itspractice both in terms of size and quality of work.
Most companies seem to lie in quadrant III. This could be attributed to how just few analytics companies have aggressively adopted analytics. Mostly, the new age ecommerce firms like Ola, Paytm & Zomato took a veryaggressive stance on their analytics function last year, also coupled by large funding budget they had.
Zomato tops in analytics penetration and is lowest inanalytics maturity.
Sitting at the bottom of quadrant III, SBI’s analytics penetration and maturity profile suggests the bank needs to push itself harder if it is to compete with private banks in ranking.
TATA Communications has the highest analytics maturity of all domestic firms in India.
Quadrant III has many banks – Kotak Mahindra, ICICI, Yes Bank, HDFC and Axis Bank. It would have been great to see them building their analytics capabilities quicker than their older peers in quadrant II.
While ecommerce firms have the highest analytics penetration of all sectors, they have the lowest maturity.
Analytics build-up for ecommerce is so high that it makes other sectors appear in an almost vertical line (having the same penetration).
Massive analytics build-up by mostly new age firms also means that the focus on maturity in terms of tenure, seniority and advanced analytics is yet to kick in.
Automobile firms have the highest maturity and banking firms the lowest.
Banking– Analytics penetration vs. maturity
Max Life Insurance has emerged as one of the largest adopters of analytics since last year’s list.
It ranks highest in terms of analytics maturity, higher than most private sector banks.
Axis Bank has higher analytics maturity compared to ICICI, HDFC and Kotak Mahindra.
SBIhas the lowest analytics maturity and analytics penetration.
Conglomerates– Analytics penetration vs. maturity
ITC has the highest analytics penetration of allother companies in the domain, yet it has the lowest maturity.
Reliance Industries leads in terms of analytics maturity whereas ITC is the lowest.
Mahindra Group has a relatively higher analytics maturity than Aditya Birla Group but lower analytics penetration.
In terms of focus on advanced analytics and data science, Reliance Industries is ahead of the pack.
E-commerce– Analytics penetration vs. maturity
Ecommerce firms are biggest adopters of analytics and they are focussed on hiring senior analytics professionals.
Flipkart is a leader in the ecommerce segment with a significantly high analytics maturity. It, however, lacks in terms of analytics penetration, which is led by Zomato followed by Ola.
Zomato, however, lacks in analytics maturity.
The analytics build up is highest in Flipkart.
Telecom– Analytics penetration vs. maturity
Both in terms of analytics maturity andpenetration, TATA Communications is ahead of big players such as Airtel and Idea.
This can be attributed to the fact that the company boasts the highest number of senior analytics professionals and also to their focus on advanced analytics and data science.
Yet, in terms of education, this area is still in a very nascent stage. Here we list down 10 places from where professionals in India can take a formal education on AI.
Please note:
This list is completely different from the analytics training institutes and courses ranking that we come out each year.
Given the nascent stage of the industry, we have clubbed all formats courses in one list (i.e. long/ short format, online/classroom etc)
This is not a ranking, it’s the list of 10 most relevant avenues we found in India that someone can utilize to learn AI
There are many courses that focus on Machine learning. In this list, we included programs that are AI focus and not just ML.
Image may be NSFW. Clik here to view.Format: Online
Duration: 11 Months
Fees: Rs. 2,75,000
This is an industry-relevant yet academically-rigorous 11-month program covering Machine Learning and AI concepts in collaboration with IIITB and Uber. It is specifically designed for working professionals with Math/Software Engineering/Statistics/Analytics backgrounds to help them gain practical knowledge and accelerate transition into Advanced Data Science and Machine Learning roles.
The Machine Learning Lab acts as an umbrella organization at the institute to both strengthen the existing groups and facilitate new activities in related areas. It also acts as a force multiplier in attracting projects and funding from other entities in the government and industry sectors, coordinate research in related domains across different centers of IIIT Hyderabad, as well as in the institute’s research collaboration with other academic institutions in the country.
Image may be NSFW. Clik here to view.M.Tech Artificial Intelligence is also a four-semester course including two semesters of course work and two semesters of project work. This programme is meant for students already well equipped in computing sciences and as such imparts advanced training in all the major areas of artificial intelligence and other emerging technologies, such as machine learning, data mining, etc.
Image may be NSFW. Clik here to view.Tech. Computer Science & Engineering with Choice based specialization in Artificial Intelligence, Image Processing, Data Analytics and Security is a specialized program aimed at providing the student with in-depth knowledge of four key domains in Computer Science and Engineering. Artificial Intelligence, Image Processing, Data Analytics and Security and Forensic technologies has acquired widespread acceptance and adoption among enterprise business applications and research community. Several startups in recent times have endorsed the presence of these domains.
If you are a computer geek, if you love coding and wish to explore dimensionless world of programming, TechTrunk brings you the core Artificial Intelligence Training which will take you through core development and programming experience and will make you expert in writing algorithms for AI applications, you will learn Machine Learning, Fuzzy Logic, NLP, SVM and much more.
At the end of Artificial Intelligence Training Sessions in Hyderabad, aspirants can easily build great command over each and every module to face business world challenges in an optimized way.
This Nanodegree program consists of two terms of three months each. Students must complete the full six months to earn their credential and graduate. Each term costs ₹44,900 (taxes extra), paid at the beginning of each term. At this time, there are no scholarships or financial aid available.
This artificial intelligence course is for Python programmers looking to use artificial intelligence algorithms to create real-world applications. This artificial intelligence course is friendly to Python beginners, but familiarity with Python programming would certainly be helpful so you can play around with the code. It is also useful to experienced Python programmers who are looking to implement artificial intelligence techniques.
myTectra offers Artificial intelligence training in Bangalore using Class Room. In this course you will learn to implement mathematical ideas in machine learning. You will investigate the process of learning and understand the application of various learning algorithms.
ZenRays offers the best Artificial Intelligence Training in Bangalore and Machine Learning Training in Bangalore. Register to attend our Hands-on Training. Work on Machine Learning Live Project in Bangalore as well as Artificial Intelligence Live Project. Classroom and Online Training facilities are available for all the sessions and technology training courses in Bangalore at ZenRays.
It has been two years since Analytics India Magazine took up the initiative of identifying the brains behind the excellent work that is being done in the field of data science in India. Given a rise in popularity in the field, there are many professionals who are veering their way onto the data science field and India is witnessing a growing number of data scientists, playing crucial roles in various industries.
For this year’s ranking, data scientists from various organisations and those working independently, were considered, irrespective of size and nature of work. Like last year, we also got in touch with data scientists that we know personally who might not necessarily be associated with an organisation.
The top 10 names were concluded based on various parameters like pedigree, patents, papers and technical publications authored, competitions participated, pioneering work, knowledge and applicability of tools, ability to convince multiple stakeholders through data insights and many more. We also considered the inputs from expert team of leaders, past data scientists and evangelist, and their overall contribution to the analytics industry in the country, to file the list.
Here’s the list of top 10 data scientists, to draw some inspiration and motivation from (in alphabetical order).
Dr. Narang leads the Data Science & AI practice at Yatra Online Pvt. Ltd. as Senior Vice President, Technology & Decision Sciences. He has 23+ years of experience in Senior Technology Leadership positions across MNCs including IBM Research India and Sun Research Labs, CA, USA.
With a B.Tech. & PhD IIT Delhi in CS&E, he has 40+ publications in top international Computer Science & Machine Learning conferences and journals, along with 15 granted US patents. He has held multiple Industrial Track and Workshop Chair positions, and has given invited talks in multiple conferences.
As Senior Research Scientist at IBM Research, for key Telecom players in India and US, he designed and delivered real-time parallel recommendation algorithms, high throughput streaming analytics workflows and distributed graph analytics using GPUs over EDR/CDR data. Further, he led design & implementation of AI based cognitive workflows for inverse problems using oil & gas production data. As Chief Data Scientist and AVP Data Science at Mobileum, he led development of voice and data fraud techniques using deep learning and travel prediction and campaign models over terabytes of CDR data. As CTO in a recent startup stint, he developed game theory, ML and optimization based novel approaches to pricing and revenue management for large Media & FMCG companies. At Yatra, he is working on AI based approaches for marketing and discounting optimizations and personalized chatbot experience.
He currently heads the Data Analytics Cell at NITI Aayog (National Institution for Transforming India) as Officer on Special Duty (OSD) and believes that the challenges with analytics in governance are quite different from that of other industries. He is in charge of developing roadmap for use of data/analytics for Governance and Policy making along with providing analytical insights for policy making across sectors like Direct Benefit Transfer, Innovation, Digital payments, Healthcare/Nutrition, Agriculture, etc. He is engaged with the energy vertical at NITI Aayog where he is instrumental in various long term planning of future energy needs of India through initiatives like integrated energy modelling, energy data management, etc.
With over 15 years of experience across different aspects of data analytics, statistical modeling, data and text mining across companies like IBM, Accenture, Nokia, NASA, Persistent Systems, etc., he has also contributed to various data and analytics related engagements with Singapore Government. While at IBM, Dr. Sarkar made significant contributions towards developing the Monte Carlo Simulation of SPSS and the Predictive Maintenance and Quality solution for the manufacturing sector.
He holds a PhD from The Open University, UK, Masters from Indian Institute of Technology (IIT) Bombay and Bachelors from Calcutta University and has authored several technical publications and technology patents.
Kiran R is currently the Director, Data Sciences at VMware and has an experience in driving impact in both B2B and B2C organizations. He currently drives advanced analytics and data sciences support at VMware across verticals.
Prior to VMware, he headed analytics & data sciences for Sales, Marketing & Customer at Flipkart, affiliates analytics at Amazon and for the e-business & search teams at Dell. Kiran has 3 filed US patents. During his days at Dell, he was awarded the 2012 India Innovator of the Year award by Michael Dell in person in 2012. He is the author of a Harvard Business Review Case study on data mining in partnership with IIM-B, that is taught in premier schools around the world.
Kiran is a Kaggle grandmaster and was ranked in the top 10 Kaggle data scientists in 2013-14 with a top rank of 7, which remains the highest ever rank consistently held over a year by an Indian to this date. He is one of the winners of the prestigious KDD Data Mining Cup in 2014, organized by ACM-KDD (Association for Computing Machinery – Knowledge, Discovery and Data Mining).
A computer science engineer and a post-graduate from Indian Institute of Management Kozhikode (IIM-K), Kiran is passionate about data sciences at work and outside of it.
Nitin is a strong believer and practitioner of using advanced analytics as a strategic differentiator across domains and has a proven track record of creating impact by solving key business problems with astute analytical problem solving.
He currently leads the Data Science group at WalmartLabs to leverage big data, data science & technology to enable faster & smarter business decisions. He is leading key initiatives to deploy algorithmic products that consume Walmart scale data and infuse smarter decisions across retail lifecycle like site selection, assortment optimization, pricing, demand forecasting, supply chain, store ops and enterprise wide decisions. These solutions are able to deliver multi-billion $ impact. The group is driving innovation leveraging emerging technology to experiment with AI; deep learning driven solutions for image, video & text analytics across various use cases. He is considered an analytics thought leader who is enabling creation of value for the organization.
Prior to this he has held various key positions in MNCs like Citigroup, HSBC, FICO and GE across multiple roles. He was responsible for setting up and managing analytics groups in the areas of insurance analytics, consumer finance and retail credit risk management and gathered functional expertise across marketing and risk analytics. He has been focused on continuous learning and professional development for self and the teams he has led.
An alumnus from Indian Statistical Institute (ISI), Calcutta, Nitin has over 17 years of extensive experience in the field of predictive analytics and data science projects. He is also an active speaker and panelist at leading data science conferences.
Dr. Om Deshmukh is the Director, Data Sciences in the Analytics Centre of Excellence at Envestnet | Yodlee. Om and team drive foundational data sciences initiatives to mine actionable intelligence from the petabytes of data that flows through the Envestnet | Yodlee platform, enabling financial service providers to improve consumers’ financial wellness.
He received his PhD from the Department of Electrical and Computer Engineering at University of Maryland, College Park, MS from Boston University and B.Tech. from BITS-Pilani.
Prior to Envestnet | Yodlee, Om has worked at IBM Research and Xerox Research and has a deep expertise in machine learning and data analytics, particularly Bayesian Non Parametrics and Generative Models using Deep Neural Networks. At Xerox Research, he built a team of highly motivated researchers and developers who designed state-of-the-art Machine Learning and Multimedia (speech/text/video) Data Analytics algorithms. He successfully negotiated a first of its kind revenue sharing deal with an edtech startup to inject multimedia analytics into its products. At IBM, he built consensus among executives and presented to the CEO, a technology strategy for an analytics-driven billion-dollar business in ‘Personalized Learning.’
Om has filed 45+ patents (including 2 high-value patents) and was published in 50+ international publications (multiple best paper awards).
Ramasubramanian (Ramsu) Sundararajan heads the AI function at Cartesian Consulting. He started his journey as a researcher at the Indian Institute of Management in Kolkata, where he wrote his doctoral dissertation on theoretical and algorithmic aspects of learning with a reject option. Prior to this, he earned his undergraduate degree from the Birla Institute of Technology & Science, Pilani.
Since 2003, he has worked at GE’s Global Research division as well as at Sabre Airline Solutions’ Operations Research group, where he built statistical and machine learning models to find patterns in a variety of data sources in different domains. Examples include: patterns in the behaviour of retail banking customers that would indicate their future profitability or risk; patterns in medical image data that would provide early warning for diseases such as breast cancer and pneumoconiosis; patterns in sensor data that would help service engineers flag underperformance or impending failures in steam and gas turbines; and patterns in traveller behaviour that would help airlines determine trip purpose, ancillary purchase behaviour and so on. In his current role at Cartesian, he hopes to extend his hunt for interesting and actionable patterns to newer domains.
Through it all, Ramsu has maintained a focus on both business value and innovation. He has co-authored over 20 publications in international conferences and journals, notably Interfaces, Journal of the Operational Research Society and the Journal of Revenue and Pricing Management. A firm believer in the “if you want to learn, teach” doctrine, he has regularly offered internal training programs and delivered guest lectures at premier educational institutes such as the IIMs and IITs on applied machine learning.
Saigeetha A J is a senior data scientist specialized in Computer Vision, Machine Learning, Geophysical modeling and Robotics, and currently leads a team of image/NLP experts at IBM. At IBM, she is extensively involved in delivering high end applications in image processing, video processing, OCR & Robotics along with NLP. Some of the significant contributions are quantifying wine brand popularity from social media images, video chunking & tagging, document digitization, Robotic presentation and path planning.
She has over 10 years of experience in various industries namely automotive, manufacturing, winery, education/learning, paints/chemicals, social media and disaster/hazard management. She holds a Ph.D in Physics from Gandhigram Rural Institute and carried out her research work in CSIR Fourth Paradigm Institute (formerly CSIR Centre for Mathematical Modeling and Computer Simulation). Her research work included development of a geophysical model for quantifying significant fault systems in India using GPS measurements.
She then later went on to work in a leading paint company in colorimetric data analytics including developing an empirical model to predict paint toner constituents in a paint formula from reflectance. After this, she led a team of image scientists in developing advanced computer vision algorithms for ADAS & driverless cars such as pedestrian & car detection, traffic light detection etc. at a leading multinational.
As a researcher, she has co-authored several research papers in leading journals of Elsevier, Indian Academy of Sciences. Apart from this, a couple of patents have been filed by her. Recently, she was adjudged “2017 Eminence & Excellence Star” performer at IBM.
Shantanu has about 10 years of experience in devising data driven strategies for marketing and sales across various industries including Life Sciences, TMT and Retail. A post-graduate in Statistics & Informatics from Indian Institute of Technology, Kharagpur, he has extensive knowledge in complex statistical and machine learning models. His master’s thesis in image recognition was selected for presentation in 2008 IEEE Artificial Intelligence and Pattern Recognition Conference held in Florida.
He joined Deloitte from campus and was instrumental in developing a few solutions which defined the industry standard- gamified business simulation for a Retail client, disease propensity models using lifestyle data; the latter was featured in the front page in the Wall Street Journal as industry disruptor. He then joined Novartis, where he led the efforts in solving the problem of integrating planning and evaluation the online and offline promotions for pharmaceutical industry. He Joined back Deloitte 3 years back to start the Life Sciences advanced analytics offering where he has worked with most of the big pharma companies on various consulting engagements such as drug launch strategy, patient experience redesign and market map for effective product strategy. He has lent is rich experience with marketing and sales organizations in cross-industry engagements, he is currently leading the global sales strategy transformation project for a TMT client.
He is also engaged with the Deloitte product and innovation group to enhance and encapsulate some of the work on customer/consumer engagement and sales transformation to build solutions which can be deployed at scale across industries to shape product and marketing strategy – faster, smarter and in a cost effective way.
He has spoken in some of the leading data science conferences in India and abroad including Deloitte Analytics Summit and Cypher 2017.
As part of ZS’s data science leadership team, Shankar is focused on shaping the advanced analytics capabilities of the firm to deliver real-world client impact powered by diverse data, algorithms and platforms. For over 16 years at ZS, Shankar has supported more than 20 global life science firms by providing fact-based insights for enhanced decision-making across a range of enterprise functions including sales, marketing and Health Economics and Outcomes Research (HEOR).
For the past eight years at ZS’s Capability and Expertise Center in India, Shankar has been instrumental in driving the analytical offerings spanning foundational performance engine analytics to next-gen analytics powered by unstructured data, predictive analytics, machine learning and AI. Prior to his current role, he was head of the Pune office and also led the business consulting capability for India.
Shankar has an interdisciplinary Ph.D. from Purdue (Artificial Intelligence + Operational Research applied to Chemical Engineering) and a B.Tech from IIT Madras. During the course of his doctoral thesis, he published 11 research papers on discrete event system representations to model batch process systems. He has been published in Value in Health, Society of Hospital Medicine and International Society for Pharmaceutical Outcomes Research (ISPOR).
He heads the analytics at bigbasket.com – India’s largest online supermarket, with a focus on delivering definitive actionable insights that help enhance the customer experience. The analytics team at bigbasket leverages advanced tools, techniques and platforms to power a better customer experience. The analytics team under his guidance drives a.) diagnostic analytics to root-cause business problems, b.) predictive solutions including forecasting for perishable products, sales projections to support organization’s expansion and c.) prescriptive solutions including smart basket (a shopping assistant) and recommendations to help improve customer experience.
With an experience of more than 20 years in analytics leadership, he has worked with companies like Dell, McKinsey, Infosys, Ernst & Young and PwC. An undergraduate with engineering degree in computer science from the University of Madras, an MBA from IIM-Ahmedabad and with a graduate engineering degree in supply chain management from MIT, Mani is a frequent speaker in industry and academic forums as an analytics expert. Some of his experience include being a speaker at IIM-B’s Retail Master Class, panel moderator/member in various industry forums (Cypher, SCPC), conducting hands-on workshop in Analytics at UpGrad and other forums. He has also been part-time faculty delivering graduate level Analytics courses at SIBM, Bangalore and NMIMS, Bangalore.
With our annual ranking on analytics courses offered in India, we aim to provide a roadmap to analytics professionals in excelling their skills. It remains one of the most asked questions by analytics professionals on which are the best courses offered in the industry. With this ranking, we try to clear the existing confusion in prospective students mind. According to research, there are more than 200 analytics courses in India, and picking the one that suits a student’s requirement can be challenging.
While we have been doing a combined ranking of full time and executive courses till now, this year we have brought a separate ranking for both, keeping in mind the target audience. On one hand, where full time courses may suit those willing to give more time in completing these courses, executive courses work the best for working professionals. Keeping in line with their busy schedules, these courses are designed in a way that lets them make the most of it—weekend scheduled, online classes, case based studies, being a few.
For this year’s study we received 15+ nominations and these institutes have been ranked on six parameters i.e. course content, pedagogy, external collaborations, faculty, brand value and other attributes like placement assistance, LMS, events, virtual labs and others. These have been rated on a scale of 1-5 (where 1 is for Worst and 5 is for Best) for all 6 parameters individually to arrive at an overall ranking. Apart from these parameters, the study also considered students as well as expert feedback before arriving at Top 10 Executive Analytics Courses in India – Ranking 2017.
PGP-BABI continues to be our top ranked course for 3rd year. Delivered by Great Learning, which is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant learning programs to working professionals.
Course Content (Rating 4.9): The course curriculum is divided into three stages—business foundation that covers basis of management along with statistical method, analytical techniques that covers in-depth study of analytical tools and techniques such as R, Tableau, SAS, and finally the application & industry exposure which includes industry led modules in various domains of analytics including retail marketing, financial and risk analytics etc.
Pedagogy (Rating 4.8): PGP-BABI uses a combination of learning methods that include classroom teaching, self-learning through videos and reading materials, team-based problem solving, and sessions with industry experts. Some of the distinguishing features are blended learning module, corporate collaboration, and capstone project that allows you to apply your learning to real industry projects and add it to your portfolio.
Faculty (Rating 4.8): Thefaculty to student ratio is 1:6 with 18 faculties holding PhD and 62 with industry experience. Two of their faculty members, Dr. PK Viswanathan and Dr. Bappaditya have been featured in the top ten academicians of the country, while Dr. RL Shankar has been featured as “The Professional Simplifier”.
External Collaboration (Rating 4.7): They have collaborated with over 100+ industry experts who design, deliver, and endorse their program. They are instrumental in mentoring their candidates through the capstone project, resume workshops, and career enhancement sessions. Their alumni earn dual certification from Great Lakes Institute of Management and Illinois Institute of Technology, Chicago.
Brand Value (Rating 4.7): Great Lakes, within a short span has emerged to be one of the top ranked business schools in India. With a lot of accreditations to its name, it has become the youngest B-School in India to have received accreditation by Association of MBAs (AMBA, UK) for its PGPM and PGXPM programs. Its PGP-BABI program has been the leading executive courses in analytics.
Other Attributes (Rating 4.8): They have a dedicated team for customer success to engage and aid alumni for career success. The Great Lakes Job Board can be accessed by all participants even after they have graduated from the program. They conduct resume workshops and industry sessions. They conduct virtual lab events and have a LMS, Olympus that is scalable and comprehensive technology platform that encapsulates all aspects of blended and mentored learning.
The overall rating for Great Lakes Institute of Management is 4.78
Though a recent entrant in the space, this program wins due to 3 reasons – exceptional brand value associated with University of Chicago, extensive industry collaboration and course content that encompasses all aspects of data science.
Course Content (Rating 4.9): This is the most comprehensive data science program, with a curriculum spanning analytics, machine learning, deep learning and AI. University of Chicago Graham School & IBM tied up to provide a detailed and cutting edge analytics and machine learning course.
Pedagogy (Rating 4.5): The PGPDM is application-oriented in nature, integrating business strategy, project-based learning, simulations, case studies, and specific electives addressing the needs of the industry. It is delivered in three ways—In-person classes with University of Chicago, industry professionals & Jigsaw faculty.
Faculty (Rating 4.7): They have a faculty to student ratio of 1:1, with a batch size of between 30-50. All the University of Chicago faculty have PhD and multiple years of experience in industry and research. It is first analytics course in India to bring faculty from a college in USA, which is amongst the top three.
External Collaboration (Rating 4.7): The program offers best of both worlds with instructors from University of Chicago, industry experts from Jigsaw and analytics practitioners from IBM coming together to deliver a great learning experience.
Brand Value (Rating 4.8): Jigsaw Academy has been a pioneer in Indian analyticseducation and its collaboration University of Chicago, US, has added to its brand value. With projects and hiring from the likes of IBM, Fractal, Analytics Edge etc., they have an alumni base of over 40,000 students.
Other Attributes (Rating 4.5): It provides extensive placement assistance with exclusive job postings, mock interviews, question banks and live contests. Multiple industry speakers across all contact sessions, live capstone projects, soft skill training, LMS are some of its other features.
The overall rating for University of Chicago is 4.68
Mode of Delivery: Online. 90% of the lectures are asynchronous in nature, delivered by industry experts and leading faculty, 10% of learner time is spent clarifying academic doubts.
UpGrad, founded by media stalwart Ronnie Screwvala, has successfully launched programs in data science, big data engineering, software engineering, digital marketing, product management, and entrepreneurship, in collaboration with leading Indian and foreign universities such as BITS Pilani, Cambridge University, and IIIT Bangalore, among others.
Course Content (Rating 4.7): The program offers the right blend of statistical know-how, technological expertise, and business knowledge. It has been designed along with IIIT Bangalore and multiple industry leaders. It covers areas of data management, statistics and exploratory data analysis, machine learning, big data analytics.
Pedagogy (Rating 4.5): The learning experience has been designed keeping in mind the working professionals. The teaching style is case-led, wherein faculty and industry experts use a series of industry-relevant examples to teach complex data science and analytics concepts.
Faculty (Rating 4.6): 67% of its faculties are with PhD and 94.4% with industry experience. Of the 18 faculty members who have worked closely with UpGrad to design the course, 14 are working in or have worked in the analytics industry.
External Collaboration (Rating 4.6): The program has established flagship partnerships with analytics leaders such as Uber, Genpact, Fractal Analytics and Gramener. Further, it has been built in collaboration with 30+ analytics industry experts from leading corporations.
Brand Value (Rating 4.4): Along with a collaboration with IIIT Bangalore, Upgrad has partnered with more than 50 companies such as the likes of Star TV, Disney, Google, Microsoft, to develop program content and provide mentorship to students.
Other Attributes (Rating 4.6): Career support is provided as a part of this program along with relevant preparatory material to help learners understand the industry landscape, build their resumes, and prepare for interviews. It also conducts a series of offline events known as the ‘Basecamp’. UpGrad’s proprietary technology platform hosts all the recorded video content, reading materials, assessments, projects and live sessions in a systematic manner.
Talentedge is an Ed-Tech firm and amongst the first to have brought the ‘Live & Interactive’ anywhere learning in digital format. It offers courses jointly with world leading institutes and corporates, enabling working professionals to plan their future course of action and fast track their careers.
Course Content (Rating 4.5): The program content and structure is designed entirely by XLRI and provides hands on exposure to popular business analytics tools like excel and R.
Pedagogy (Rating 4.4): The classes are conducted through live lectures that is beamed online via internet to student desktops/laptops or classrooms using Talentedge’s Direct To Device platform. The pedagogy comprises of lectures, case studies, interactive sessions, project work and class exercises imparted by XLRI’s faculty.
Faculty (Rating 4.5): Lectures are imparted by eminent faculty from XLRI and Industry experts. One of their prominent faculties is Dr. Soumyakanti Chakraborty, Fellow (IIM Calcutta), B.Tech (Calcutta University), XLRI Jamshedpur
External Collaboration (Rating 4.4): They have an external collaboration with XLRI, one of India’s leading management school based in Jamshedpur. They also have many corporate alliances with industry.
Brand Value (Rating 4.6): XLRI is acknowledged as India’s oldest business management school and with its single vision of Magis, i.e., pursuit of excellence, it has been focusing well on three areas academic excellence, personal values and social concern.
Other Attributes (Rating 4.2): They have a periodic evaluations built in through the duration of course which may be in the form of quiz, assignment, project or other objective/subjective assessments as relevant and applicable to the program.
The Executive Program in Business Analytics launched by MISB Bocconi, the world’s only offshore presence of Università Bocconi, and and India’s best-ranked data analytics training institutes, Jigsaw Academy.
Course Content (Rating 4.4): With an average work experience of almost 15 years for the batch, the EPBA is amongst the most sought after programs in the country for senior professionals. In line with its target audience, the curriculum of this program is more focused on breadth rather than depth. This program will train you for a leadership role in analytics rather than an entry level role.
Pedagogy (Rating 4.4): The EPBA is focused on bring top class faculty to India to teach the analytics program. The teaching includes in-person classes with Bocconi faculty, industry professionals and Jigsaw faculty.
Faculty (Rating 4.6): They have a faculty to student ration of 1:1, with a batch size of around 35. All SDA Bocconi faculty have PhD and multiple years of experience in industry & research, and have been involved with startups and corporate giants. It is the first program in analytics to bring faculty from a European and global top 10 university to India.
External Collaboration (Rating 4.5): The course is offered in collaboration with SDA Bocconi, Milan, that is ranked among the top 10 business schools globally. The professors from Bocconi, Milan fly down to teach. They also have tie-ups with Axtria, Analytics Edge, Tata Motors, Smart Cube, Kainoos, Data Semantics for projects and hiring.
Brand Value (Rating 4.4): Jigsaw Academy has been a pioneer in Indian analyticseducation and its collaboration MISB Bocconi has made it one of the preferred choice of students, universities and companies. With projects and hiring from the likes of IBM, Fractal, Analytics Edge etc., they have an alumni base of over 40,000 students.
Other Attributes (Rating 4.2): It provides placement assistance, exclusive job posting, mock interviews, question banks, live contests. It also provides Amazon cloud based virtual labs for R, Python, and Big Data available 24×7 to all students. It also has live capstone project and soft skills training for presentations.
In 2015 Aegis and IBM collaborated to launch, India’s first Data Science Program known as Post Graduate Program in Data Science, Business Analytics and Big Data. IBM has set up Business Analytics Lab and Cloud Computing Lab at Aegis Campus.
Course Content (Rating 4.5): The core course includes Statistics and probability, R and Python for Data Science, Hadoop, big data with Apache Spark, machine learning for data science, IBM Watson analytics, business use cases of big data and data science and much more. Whereas the elective course comprises of Scala, Qliksense, marketing analytics, social media analytics, machine learning with Microsoft Azure, MongoDB, Apache Hive, Apache Pig, fundamental of financial statement analytics, big data on AWS: Amazon Elastic MapReduce (EMR), amongst others.
Pedagogy (Rating 4.3): The program is delivered using an innovative, experiential learning methodology that includes classroom lectures by Aegis faculties, IBM experts and industry experts engaged in real life data science projects providing the theoretical and in-depth conceptual knowledge.
Faculty (Rating 4.4): They have a faculty to student ratio of 1:4 with 17 faculties with PhD and 41 with industry experience
External Collaboration (Rating 4.5): In 2015 Aegis joined hands with IBM to offer full time and executive post graduate program in data science, business analytics and big data and PGP/EPGP in cyber security. Another collaboration is with NVIDIA DLI to conduct and impart training on artificial intelligence and deep learning. It also has partnership with MTNL, a leading Govt. of Indian telecom service provider and collaborations with the various companies.
Brand Value (Rating 4.3): With its candidate’s placed in 45+ companies such asAccenture, Aditya Birla, Suzlon, Fractal, IBM, HDFC, Ford Automotive, and more, it speaks of the brand value it has.
Other Attributes (Rating 4.4): It has a career management center that provides all students placement and paid internship opportunities. Aegis-IBM has setup state of the art lab for the participants and the faculties, which helps them to work on various data science tools, platforms, IBM specific software and projects.
The overall rating for Aegis School of Business is 4.40
Cities of Operation: 20 cities pan India including Bangalore, Mumbai, Pune, Hyderabad, Kolkata, Chennai, Lucknow, Delhi
Duration of Program: 6 months
No. of hours: 380 hours
Mode of Delivery: Classroom/ Online
Times Professional Learning (TPL) is a unique training & education initiative from Bennett, Coleman Co. Ltd. (the Times Group) that aspires to solve the skills puzzle in India by adopting dynamic learning methodologies. TPL has an expertise in providing training solutions in the area of Big data, Data Sciences, Data Analytics & Artificial Intelligence.
Image may be NSFW. Clik here to view.Course Content (Rating 4.4): PGDDS program is designed for experienced professionals who want to gain a deep understanding of how to use data as a strategic asset. This program teaches students both to understand the role of evidence-based data in decision-making and to leverage data as a strategic asset.
Pedagogy(Rating 4.3): The program is delivered by a team of leading faculty members and industry experts, Industry practitioners in live classroom instruction along with hands-on sessions. The program is designed on a schedule that minimizes disruption of work and personal pursuits.
Faculty (Rating 4.3): The faculty to student ratio is 1:15 with number of faculties with PhD to be 7 and those with 14 with the industry experience.
External Collaboration (Rating 4.6): They have partnered with NVIDIA Deep Learning Institute (DLI) that offers hands-on training for developers, data scientists and researchers looking to solve world’s most challenging problems with deep learning.
Brand Value(Rating 4.2): Times Pro is an initiative by the Bennett, Coleman & Co. Ltd. (BCCL) group, which has 45 leading brands across sectors and a turnover of approx. U.S. $1.5 Bn. Its collaboration with NVIDIA, a market leader in deep learning and AI also speaks for its brand value.
Other Attributes (Rating 4.3):They provide placement assistance to candidates who have completed the course with them. They also have well equipped labs at each center and provide laptops to students during the course duration.
RACE, an initiative of REVA University, was created to develop visionary enterprise leaders for corporates. It offers a range of techno-functional programs specially designed to suit the needs of working professionals to enhance their careers. RACE currently offers both long and short-term analytics programs for working professionals.
Course Content (Rating 4.3): The program covers descriptive, predictive, prescriptive and cognitive analytics in real-life scenarios. The PGDM/MBA in Business Analytics in association with IBM is a 12/24 months’ modular program in business analytics, in association with IBM.
Pedagogy (Rating 4.3):They have a 100% outcome driven/skill based program designed for working professionals to enhance their career in mid and senior positions in business analytics. The program is completely practical and lab based using either proprietary or open software used in the analytics market today.
Faculty (Rating 4.4): The faculty to student ratio 1:4, and the number of faculties with PhD is 3, while with the industry experience is 10.
External Collaboration (Rating 4.5):The program is offered in association with IBM. Other partners include Jigsaw Academy (online partner), Predictive Analytics/ Let’s learn analytics Ltd. (Delivery partner) and Datawise Inc. (Delivery partner).
Brand Value (Rating 4.1):RACE is a part of REVA university established under the Government of Karnataka Act 80 of the year. The founders of REVA University, with a missionary zeal, visionary outlook and philanthropic approach coupled with four decades long entrepreneurial leadership are recognised as leading edupreneurs creating world class education.
Other Attributes (Rating 4.2): They provide 100% placement assistance with lateral placement opportunities. Each participant gets an industry mentor who helps in improving their learning and explore placement opportunities. They also conduct hackathons and analytics competitions.
IFIM Business School, Bangalore, offers a range of options for executive education including an extremely well received AICTE approved 15 month EPGDM-Business Analytics offered in collaboration with IBM.
Course Content (Rating 4.1): Business Analytics course of IFIM imbibes skills, technologies and practices that are at par with the industry requirement. Since it caters to different industries and numerous domain at work, the curriculum offered at IFIM brings in a holistic knowledge to the student, and has been designed by industry experts with the vast knowledge in data mining field.
Pedagogy (Rating 4.3): The best practices in terms of pedagogy includes live case studies, practical hands on exposure to various tools and software such as RStudio, Hadoop, SPSS, Tableau, Advanced EXCEL, SQL Cognos, Power BI and Open Source predictive analytics tools like Rattle, KNIME (Text Mining & Deep Learning) and Open Source Text Mining.
Faculty (Rating 4.4): With a faculty to student ratio of 1:15, they have a total of 6 faculties with PhD and 13 with industry experience.
External Collaboration (Rating 4.3): IFIM has created a business analytics course for students and working professionals to learn and apply analytics solutions and solve real-world problems with IBM and open source tools.
Brand Value (Rating 4.2): IFIM Business School, Bangalore was founded in the year 1995 and has over the years grown to be amongst the top ranked business schools in India.
Other Attributes (Rating 4.3): The Institute has a dedicated Placement team which handles the training and placement related needs for different courses. It recently organized its 10th International Conference on Digital Business: New Frontiers in Management with its specific theme on Business Analytics & Big Data in Digital Business.
Bridge School of Management is a venture of HT Media Ltd., India’s second largest and most trusted media company. The Predictive Business Analytics program is offered in partnership with Northwestern University, USA and provides placement assistance to all successful graduates
Course Content (Rating 4.2):It offers a blended program to suit working professionals. ThePredictive Business Analytics course at Bridge is strategically designed to provide strategic knowledge of Analytics and give hands on experience on using tools and mining insights.
Pedagogy (Rating 4.3):Pedagogy is a blended format with flipped classroom model. Students take face to face sessions over the weekend with industry practitioner faculty, and the sessions are delivered with the help of case studies, live -industry examples, numerical and practical coding sessions.
Faculty (Rating 4.3): The faculty to student ratio is 1:20, with 20 faculties with relevant industry experience. All the of them are industry experts with 10+ years of experience, from corporates like AMEX, RBL, SBI cards etc.
External Collaboration (Rating 4.3): They have collaborated with Northwestern University (School of professional Studies), USA
Brand Value (Rating 4.1):Being in the industry for last few years, they have been able to place candidates in companies like HCL, Policy Bazaar, American Express, Indigo, Hero, Luminous and many more. Backed by India’s leading media company HT Media and Global Education group-Apollo Global (USA), it has been delivering innovative learning environment for the working professionals.
Other Attributes (Rating 4.3):They provide100% Placement Assistance. Each batch goes through a series of tool learning along with a live project.
The overall rating for Bridge School of Management is 4.25
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Keeping in line with our recently published ranking on top 10 executive analytics courses in India, we bring to you another ranking for full time courses in analytics and related domain. While both executive and full time courses offer an extensive training on the analytical, statistical and data science tools, the difference lies mostly in the target candidates. On one hand, where executive courses are designed mostly for working professionals to accommodate skill upgradation along with their working hours, full time courses are best suited for fresher and those willing to take a sabbatical from their work to excel in the area of analytics.
With this year’s ranking, which often remains a daunting task for candidates to chose amongst a plethora of options, we have tried to ease out their efforts by rating these courses on the basis of course content, pedagogy, external collaborations, faculty, brand value and other attributes like placement assistance, LMS, events, virtual labs and others. The parameters have been rated on a scale of 1-5 (where 1 is for Worst and 5 is for Best) individually to arrive at an overall ranking. The study also considered students as well as expert feedback before arriving at Top 6 Full Time Analytics Courses in India – Ranking 2017.
The two years’ full time residential program is offered by ISI, IIT KGP and IIMC. It provides students a lifetime experience of learning from not one but three of the premier institutions of the country. They develop a strong business acumen at IIM Calcutta, a sound statistics background at ISI and at IIT Kharagpur they learn to apply various machine learning techniques.
Course Content (Rating 4.9): The first semester at Indian Statistical Institute consists of 5 courses including statistical structures in data, stochastic process, inference, computational data science and DBMS. The second semester at IIT Kharagpur explores machine learning techniques, time series models, cloud computing and information retrieval. The third semester is offered by IIM Calcutta and covers a range of topics from business data mining, categorical data analytics, product management etc.
Pedagogy (Rating 4.9):The teaching methods and curriculum at the three institutes complement each other to give students the most comprehensive learning of business analytics. The course finds the optimal balance between the theoretical concepts of data science and their applications to business problems. Students get to regularly interact with industry experts through invited talks and guest lectures, where experts talk about latest trends and challenges in the industry. The course leverages the best of the three institutes in their respective fields of expertise, i.e., statistics, technology and business.
Faculty (Rating 4.9):No. of faculties with PhD in ISI are 201, IIMC is 81 and IITKGP is 57, whereas those with industry experience are 42, 3 and 8 respectively. All the faculties teaching PGDBA have a PhD in their respective fields from reputed institutes all around the globe. Students have the opportunity to interact and participate in projects with any faculty in the 3 institutes at any point of time during the course.
External Collaboration (Rating 4.8):The inception of PGDBA was borne out of a collaboration between the industry and academia. A day-long conclave held at IIM Calcutta on January 2015.
Brand Value (Rating 4.9):Indian Statistical Institute(ISI) is one of the oldest and most prestigious institutions devoted to the research, teaching and application of statistics, social sciences and natural sciences. The Indian Institute of Technology Kharagpur(IIT KGP), is the first of the IITs to be established in 1951. Whereas, the Indian Institute of Management Calcutta (IIMC) was established as the first national institute for Postgraduate studies and Research in Management by the Government of India in November 1961.
Other Attributes (Rating 4.9):The course has amandatory 6-monthinternship at the end of the course,assistance for which is provided by theinstitutes.Virtual lab events consist of simulation of management game to get hands-on knowledge of industry growth and estimation techniques so as to allocate a company’s budget accordingly. Data Science Laboratory(DSL) at IIT Kharagpur with multiple GPU’s is one of the best in the country to process big data and carry out analysis on the same. The tri-institute nature of the course helps the students to coordinate with students from other courses of the three Institutes in various events.
Praxis Business School with campuses in Kolkata & Bangalore, was established in Kolkata in 2007 with an initial academic collaboration with XLRI and offers full time courses in business management, business analytics and weekend classroom programs in big data analytics. The Postgraduate Program in Business Analytics has two intakes in a year – January and July, at Kolkata and Bangalore.
Course Content (Rating 4.6):The full time course is a rigorous program that aims at equipping students with the tools, techniques and skills to enable a seamless absorption into the domain of analytics and grow into the roles of Data Scientists.
Pedagogy (Rating 4.6):Business Analytics lies at the intersection of three key disciplines, namely statistics, programming and the targeted business domain and the program at Praxis is designed to address all three in significant depth.
Faculty (Rating 4.7):The faculty to student ratio is 1:8. Almost 16% of faculties are with PhD, whereas 92% with industry experience. Dr. Mukherjee, the Director of the program, is a thought leader in this field and features among the top-ten academicians in analytics.
External Collaboration (Rating 4.6): There is a considerable participation of the industry in design and delivery of the Analytics program at Praxis Business School. The curriculum has emerged after considerable discussion with industry practitioners. ICICI Bank and PricewaterhouseCoopers are knowledge supporters in the program.
Brand Value (Rating 4.5):Praxis has witnessed a significant growth in its enrolments with enrolments in 2017 witnessing a growth of 232% over 2016 numbers. Its alumni are settled well in the industry, and many of them have been able to bag excellent profiles such as consultant, business advisory analyst in Accenture, senior business analyst in Flipkart, head of data sciences in Yatra.com and others.
Other Attributes (Rating 4.6): The program enables an aspirant to get his/her first job in analytics, and have the right curriculum, pedagogy, student profile and placement process in place, so that placements will happen. They have virtual labs where SAS, R, Python are set up on student laptops.
Manipal Global Academy of Data Science offers cutting-edge learning solutions in the data science field and is backed by Manipal Global Education Services (MaGE), a pioneer in higher education and allied services. Full-time PGD in Data Science mainly focuses on fresh college graduates interested in building their careers in the field of data science. The diploma is awarded by Manipal University.
Course Content (Rating 4.5): This program is designed with an optimal blend of rigour and relevance and includes in-depth content from foundation to advanced level. The course content includes programming for data science, machine learning, database management systems, data visualization, advanced big data technologies, exploratory data analysis and electives.
Pedagogy (Rating 4.4):The lectures are delivered by industry experts and practitioners
Lectures delivered by industry experts, practitioners, where students are exposed to data science ecosystem through case studies, industry visits, hackathons, webinars.
Faculty (Rating 4.6): The full time faculty to student ratio is 2:45.20 % of faculty have a PhD, 50 % of faculty have 5+ years of experience, whereas 84% of faculty have 10 + years of experience.
External Collaboration (Rating 4.5):The institute has alliances and partnerships with both industry and academia. Industry collaboration includes those with Genpact, Experian and Big Data University (an IBM led initiative), whereas academic collaborations are with Manipal University, Deakin University.
Brand Value (Rating 4.6): Manipal Global Education Services is a leading India-headquartered international provider of high-quality higher education and enterprise learning services.
Other Attributes(Rating 4.4): It has a dedicated placement cell with intensive soft skill training, CV and interview preparations. The students work on a virtual machine set up individually or as teams for each course they undergo. It conducts hackathons and outbound learning for team building. It provides 24/7 access to content through LMS.
IIDT is set up under APEITA (Andhra Pradesh Electronics & IT Agency), an autonomous society of the Government of Andhra Pradesh to promote Information Technology and Electronics industry. It currently offers 1 year PGP in Business Analytics in partnership with Praxis Business School and 1 year PGP in Cyber Security in partnership with Gujrat Forensic University.
Course Content (Rating 4.5): The course is divided into four terms. The first term includes subjects like excel, business analytics approach, machine learning, statistics, R, SAS, RDBMS, managerial communication. Second terms consist of introduction to Python, advanced statistics, big data/spark, web analytics, retail analytics, econometrics, business finance accounting.
Pedagogy (Rating 4.4):With a focus on transformational pedagogical approach, the model is focused on developing the digital DNA through a combination of personalized learning and collaborative approaches like classroom coaching, live projects and industry driven research. Face-to-face classroom training creates in-depth absorption of the theoretical concepts while the lab sessions aid the understanding with hands-on practice.
Faculty (Rating 4.5):It has a faculty to student ratio of 8:22, with two faculties having PhD and all but one faculty member have a considerable industry experience. They invite guest lectures from industry through their network.
External Collaboration (Rating 4.4): They have collaborations with multiple bodies including corporate entities to get more exposure to the students. Some of the mentor organizations are APEITA, Govt of AP, Citi Bank, Bhaarathi Axa, Syf, Edge Folio, Solix, Scalend, Mindtree, Vasar Labs.
Brand Value (Rating 4.5):IIDT is an initiative by the government of AP, under the dynamic leadership of Honourable Chief Minister, Sri. Nara Chandrababu Naidu Garu, who has initiated the establishment of IIDT, under the guidance of Mr. J. A. Chowdary, Special Chief Secretary & IT Advisor to the Chief Minister of Andhra Pradesh.
Other Attributes (Rating 4.4): IIDT collaborates with its academic partner, Praxis Business School, to offer a rigorous campus placement program. It provides both physical and virtual labs for students’ practical sessions. CISCO and KII Corporation have set up their Centers of Excellence (CoEs) at IIDT. IIDT with Govt. of AP collaboration conducts own events. Currently the classes are stored in CLOUD to access for later use for our students.
An Australian business school of Indian origin, with campuses in Dubai, Singapore and Sydney, the School offers a plethora of undergraduate, postgraduate, professional and doctoral programs with a motive of crafting leaders for the 21st century workplace. Their full-time MBA and Global MBA programs have significant recognition as evinced through global rankings.
Course Content (Ranking 4.5): From data mining, machine learning and cloud computing to Linux, algorithmic training and Internet of Things, SP Jain’s BDVA program takes you deep into every aspect of big data. And, not simply from a theoretical perspective, but also through practical, real-world projects and industry internships.
Pedagogy (Ranking 4.3):The full time program has three important pedagogical aspects. The learning is based on three pillars of big data mining, machine learning and cloud computing platforms. BDVA program starts from basics and fundamentals and includes hand-on practical, real-world projects and industry internships.
Faculty (Ranking 4.5): It has one faculty for every three students. No. of faculties with PhD is 7 and that with industry experience is 10.
External Collaboration (Ranking 4.3):It has external collaborations with technology providers like Google, Microsoft, Tableau, Qlik, IBM, SAP, SAS. Many corporates help them bring best practices and up-skilling orientations such as Capgemini, PWC, Deloitte, TCS, Infosys, Wipro, Tech Mahindra, L&T Infotech.
Brand Value (Ranking 4.6):S P Jain is registered as a Higher Education Provider in Australia and its world class business courses are accredited by the Department of Education/Tertiary Education Quality and Standards Agency (TEQSA), Australia, and licensed by the Council of Private Education, Singapore and the Knowledge and Human Development Authority, Dubai. Apart from this, its industry association and placement speaks of its reputation.
Other Attributes (Ranking 4.4):The institute offers placement assistance to students completing a course with them. Other facilities are virtual labs like Google cloud platform and IBM labs, hackathons, workshops, info sessions, master class, Google classroom etc.
SCIT is committed to nurturing genuine IT talent to help them become future leaders in Information Technology arena. The institute supports their transformation with innovative teaching-learning methodology, state-of-the-art computer labs, platform for peer learning and opportunities to learn management in real time.
Course Content (Rating 4.3):It is the only B-School offering MBA (DS & DA) in India, aiming at developing management professionals for data sciences and data analytics stream. The program enables students to approach data using scientific methods and develop the ability to think about the real problems that need to be solved, not to simply find technical solutions.
Pedagogy (Rating 4.2):The teaching pedagogy consists of teaching through PowerPoint presentations, lectures, videos, white papers, case studies, MOOC courses, Open source software tools.
Faculty (Rating 4.3): The faculty to student ratio is 1:12. They have two faculty members with PhD and others with relevant academic/ industry experience.
External Collaboration (Rating 4.3): Cummins had reviewed their curriculum and participated in providing and conducting use case presentations in data mining, multivariate statistics.
Brand Value (Rating 4.6): SCIT is a premier IT Business School nurturing genuine IT talent. Symbiosis Centre for Information Technology, a constituent of Symbiosis International University has been a pioneer and a leader in imparting education in the niche area of Information Technology Business Management in India for more than a decade.
Other Attributes (Rating 4.1):They provide placement assistance and use N computing machines in computer labs. They conduct National Seminars and students get to participate in interesting summits across the country.
The overall rating is 4.30
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As India witnesses another successful year in analytics, what can be a better way than recognising the industry stalwarts who are contributing tremendously in the analytics domain, enabling organisations with their analytics prowess. With companies embracing disruptive technologies in this rapidly evolving business scenario and with a growing relevance for drawing better insights from huge volumes of data, the prominence for companies providing innovative analytics solutions has increased tremendously.
It may be noted that there are 600+ boutique analytics firms in India and with this ever growing number, it has reached global standards in providing state-of-the art analytics services. With these boutique firms, of varying size and team structures being on a constant rise, there is a visible competition in the market to stay ahead of the curve.
Analytics India Magazine brings such 10 leading analytics providers in India that have grabbed a spot for themselves and are helping their customers in deriving data driven decision making. Please note that this list is a replacement of our annual 10 Analytics firms in India you wish you worked for.
The list here (in alphabetical order) comprises of the names that have shown visible growth and achievements in last 1 year, have evangelised analytics within the whole ecosystem in India, thereby pushing the whole industry higher in skill and visibility.
This study has been carried out in collaboration with AnalytixLabs, one of India’s renowned analytics education providers.
Blueocean Market Intelligence is a global analytics and insights provider that helps corporations realise a 360-degree view of their customers through data integration and a multidisciplinary approach enabling a sound, data-driven business decisions. It is part of the Cross-Tab group that includes more than 1000 professionals serving the world’s largest companies from offices in the United States, United Kingdom, Singapore, Dubai and India.
Employee strength:
1500
Key Analytics Solutions:
They offer solutions in market effectiveness, market intelligence, digital transformation and have an analytics centre of excellence. Marketing effectiveness is offered through integrated marketing measurement, people based marketing and assuring sale effectiveness. They provide digital analytics consulting while the analytics centre of excellence includes analytics cloud infrastructure, big data engineering, business intelligence and visualisation, advanced data sciences, machine learning and artificial intelligence.
Key Differentiators in Analytics Solutions:
The company believes that the key differentiators in their analytics solutions are business ROI, technology enabled accelerators and its products.
Geographies and Clients they serve:
The company serves geographies like America, META, APAC and Europe.
BRIDGEi2i has been a trusted partner for enabling data-driven business transformation in enterprises by leveraging advanced analytics, domain expertise, and artificial intelligence-powered technology accelerators. It enables businesses to contextualise data, generate actionable insights from complex business problems, and make data-driven decisions across pan-enterprise processes to create sustainable business impact. It strives to generate value to the clients in each stage of their analytics journey from information to insight to impact. Working with many Fortune 500 companies globally, it solves business problems across functions and industries.
Employee strength:
With an employee strength of more than 270, they have major operations in India across Bengaluru, Pune Delhi NCR, while Texas, Washington, California, Massachusetts, and Illinois in the USA.
Key Analytics Solutions:
BRIDGEi2i offers solutions in marketing, sales, supply chain, risk, and customer intelligence. These solutions cater to various industries, including banking and financial services, insurance, technology, retail, and consumer packaged goods. Some of their key analytics platforms are Sales Decision Engine for sales performance, ExTrack which is a customer experience management platform, S-Reco which is a sales recommendation engine and M2 , a model governance and monitoring solution.
Key Differentiators in Analytics Solutions:
Some of its key differentiators are:
Best-in-class capability – They excel in areas such as data engineering, strategic analysis, personalisation, optimisation, data decision engine, and analytics operationalisation
Custom business solutions – With deep-rooted domain expertise across industries, BRIDGEi2i’s solutions are customised for specific business functions and problems
AI Labs – BRIDGEi2i’s AI Labs continuously focuses on developing solutions to solve new business problems
Technology accelerators – These are pre-built customisable solutions to ensure faster time to market
Geographies and Clients they serve:
BRIDGEi2i has a large client base primarily in the US, India, and the UK. Their clients include leading Fortune 100 and Fortune 500 companies in the verticals such as enterprise technology, financial services, insurance, retail, and CPG.
Founded in 2009, in Mumbai, India, Cartesian Consulting is a team of qualified, experienced and talented employees providing services to leading brands globally across sectors including hospitality, travel, retail, food & QSR, e-commerce, telecom, and financial services. They offer solutions in customer analytics, digital analytics, demand forecasting, recommendation engines, NLP and text mining. As the company says, “we are happy taking on questions ranging from “How do I improve a poorly performing channel” to “How do I get more renewals from my customer base” to “Which digital channels help me acquire highest LTV customers”, and a whole lot more.
Employee strength:
170
Key Analytics Solutions:
They work on a range of service offerings spanning customer analytics, marketing analytics, digital analytics including optimisation and testing, business analytics, channel analytics, price, promotions, and margin optimisation. They provide tools and methods including statistics, machine learning and AI methods solutions to a wide range of industries including retail, QSR, hospitality, airlines, financial services, technology, CPG etc.
Key Differentiators in Analytics Solutions:
The company believes that the key differentiator in their analytics solution is their understandingof the business and marketing operations and ability to come up with solutions that specifically drive adoption and incremental gains that are visible and meaningful to business. The breadth of industries, brands and locations that they work with gives them a perspective on many business problems that clients can benefit from.
Geographies and Clients they serve:
They have offices in Mumbai, Bangalore, Gurgaon, Singapore and San Francisco, however, their client base also spreads across APAC and Middle Eastern markets. Some of the major clients include India’s largest retail brands such as grocery, apparel and department stores, large QSR chains in multiple markets, a premium hotel brand, two resort and holiday chains, an airline, three of the top private banks in the country, ecommerce giants and technology giants.
Datalicious is a full-service analytics partner and technology firm, providing the tools and insights to help companies achieve more effective marketing outcomes. They began as an analytics consulting partner in Australia and has ever since expanded globally, through their growing product and services divisions. A part of Equifax Group, Datalicious is also one of the largest Google Analytics 360 Suite resellers in south East Asia. Some of their products include the SuperTag tag manager, DataExchange user ID management tool and OptimaHub cross-channel marketing analytics platform.
Employee strength:
Datalicious is a 50-member strong organization with a mix of analysts, data scientists, and client success managers. With head office in Sydney, AU, major delivery and development happens from Bangalore office.
Key Analytics Solutions:
Datalicious is the largest premium reseller of Google Analytics in APAC region. They are the pioneers in web analytics with over 10 years of presence in this space, and have key offerings in customer journey analytics, web and marketing analytics. They recently launched their marketing attribution solution – OtimaHub – with global partnership with Facebook.
Key Differentiators in Analytics Solutions:
The company goes beyond the standard setup and implementation of web analytics for their clients, and believes that their differentiation lies in with the one-on-one support throughout, with a dedicated team of analytics and data scientists. It is worth mentioning that Datalicious has the largest number of Google Analytics certified professionals in the APAC region, and they also specialise in data science & machine learning in marketing and regularly advise their clients on their overall marketing strategy.
Geographies that the company serve:
Datalicious currently serves all major regions such as APAC, Southeast Asia, India, Europe & North America. They work with the whole spectrum of clients from fortune 500 to early-stage startups.
Founded in 2000, Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process. Leading global companies partner with Fractal Analytics to build breakthrough analytics solutions, set up analytical centres of excellence and institutionalise data-driven decisioning.
Key Analytics Solutions:
It offers solutions in data transformation, predictive analytics and visualisation. Some of its products are:
Concordia, that enables an organization to be analytics ready. It helps in making intelligent and impactful business decisions by harmonizing data from disparate sources using Fractal Analytics’ proven accelerator platform.
Customer Genomics by the company is a personalized marketing platform that addresses customer acquisition, valuation management, attrition, loyalty, offer decisions and interaction rules.
Business 360 Steering Wheel, which is a big data business intelligence service for complex organizations that want to make faster, smarter, and more accurate decisions in real-time.
Key Differentiators in Analytics Solutions:
Fractal serves as strategic partner to their clients where they consult and deliver a wide range of business intelligence analytics custom tailored for centralized analytics teams or individual business units.
Geographies that the company serves:
It has a presence across 12 global locations including the United States, UK and India. They serve clients from offices in San Francisco Bay area, Greater New York area, London, Mumbai, New Delhi, Singapore and Dubai.
Today, it’s the age of the customer and Hansa Cequity believes that if firms have to be agile and competitive in the marketplace, they need to enhance Customer Equity better than ever before in their quest to build value, market share and improve customer experience. For over a decade Hansa Cequity has helped businesses acquire customers intelligently, retain them optimally and manage them profitably.
Employee Strength:
500+
Key analytics solutions:
It brings in diverse and rich set of experiences across customer strategy, data management, analytics, digital campaign management and social media strategies to help organisations build a connected engagement platform for their customers. By leveraging the power of technology through proprietary and best-in-class marketing automation and analytics platforms; Cequity’s customer marketing specialists glean out insights that help organisations with their everyday decision making. From simplistic data exploration to building complex analytical models using advanced machine learning/ AI algorithms they help companies identify the right engagement strategies for their customers. They offer services in consulting services (customer strategy, marketing, data management, analytics, digital campaigns management and social media), data management platform, customer analytics and insights platform, marketing optimisation platform, etc.
Key differentiators in analytics solution:
Hansa Cequity’s ability to bring in multidisciplinary teams of specialists who bring together years of experience working in product/services marketing organisations, advertising and direct marketing agencies, analytics companies, technology consultancies, contact centres and digital and creative agencies enables them to stand out in the market by offering unique value propositions for their clientele.
Geographies that the company serves:
With offices in India and the US, it has vast experience in helping India’s leading companies with their customer marketing efforts. Their expertise has been sought out in banking and financial services, consumer & industrial markets, retail, FMCG, travel and hospitality, e-commerce, automotive, DTH and telecom and NGO.
With a presence in India since 1951, IBM has expanded its operations with regional headquarters in Bangalore and offices across 20 cities. IBM India has established itself as one of the leaders in the Indian Information Technology industry with innovation at the core of the company. It offers end-to-end solutions to clients spanning from software and systems hardware to a broad range of infrastructure, cognitive, cloud and consulting services. With its advanced analytics, research capabilities, comprehensive IT infrastructure knowledge, it helps clients solve complex business and technical issues.
Key Analytics Solutions:
IBM works with clients to provide tools and infrastructure needed to create the perfect information architecture empowering companies to pursue big data projects, such as they have industry’s best data science platform (DSX & SPSS), analytics engine that enables clients to write code and deploy, etc. Their offerings have common analytics architecture and work on public, private and hybrid cloud environment. Clients can buy ready to use analytics solutions from IBM which are built for a specific industry use case e.g., customer insights for telco’s or fraud insights for banks. IBM also provides analytics services which enable clients to outsource analytics projects.
Key Differentiators in Analytics Solutions:
IBM is world’s highest contributor to apache foundation and its offerings extensively leverage open source technologies to ensure that clients always get the best solution and are able to keep costs low.
It provides enterprises the ability to work in private, public or hybrid cloud environment. IBM’s use of common analytics engine ensures that code written in one environment would work across all three environments.
With huge investments in cognitive technologies, IBM has pioneered the cognitive era and has invested billions of dollars in developing Watson, cognitive and analytics technologies.
IBM has set up a machine learning hub in India to advance the use of ML in India. It is also building a data science elite team to work closely with clients as they deploy advanced analytics projects.
IBM understands that data is company’s competitive advantage and hence their cognitive offerings are unique to each client making their data secure and accessible only to them.
IBM has a huge ecosystem in India for analytics services partnering not just with large system integrators, data providers (like twitter, weather company etc.) but also many business partners.
Geographies that the company serve:
It serves almost all global markets globally. Some of its clients in India are banks & telecom companies, amongst others.
A leading cloud analytics company pioneering analytical applications for consumer-facing businesses, Manthan excels in the application of decision sciences, advanced math and artificial intelligence, to invent and bring ideas to life. Its suite of products has been recognised for enabling the shortest, swiftest and simplest path to profit. An early adopter of advanced technologies in decision sciences, Manthan engineered Maya, the world’s first AI-powered conversational interface for business analytics. With Maya, decision-makers can interact with their data in natural language and perform complex business inquiries through a voice interface. Its products that are powered by AI, cloud and perspective capabilities are unique in their ability to use machine intelligence to process decision contexts and respond automatically with actions and recommendations to manage every aspect of a consumer business.
Headquartered in Bangalore with offices in Santa Clara, London, Dubai, Mexico City, Singapore and Manila, Manthan’s footprint spans 22 countries.
Employee strength:
600+
Key Analytics Solutions:
It offers a comprehensive set of prescriptive analytics solutions for retail and consumer businesses across key business areas such as merchandising, marketing, operations and supply chain. The solutions are powered by an AI platform called ‘Manthan Maya’. It serves as a business advisor focusing on areas that need specific attention by analysing millions of data points and data context. Some of its examples are:
In merchandising to optimize assortments- It offers category managers recommendations on optimizing assortment mix based on location of stores, sales forecast, weather data, products to be dropped, retained or substituted. It also recommends appropriate price points for slow movers, suggests markdowns and provides expected impact on sales.
In store operations- Manthan’s solution help Operations teams efficiently run stores by prescribing products to be replenished to prevent out of stock situations by triggering alerts at the right time.
In marketing- It help marketers recommend the best products and promotional offers based on past purchase, online behaviour, brand preference and channel preferences to drive better engagement and higher conversions.
Key Differentiators in Analytics Solutions:
Some of the USPs for Manthan’s AI solutions include:
AI driven Recommendations- Manthan’s prescriptive solution analyses millions of decision contexts and data points by leveraging a wide range of machine learning and deep learning algorithms pre-built into the solution. The platform automatically invokes the appropriate algorithmic model based on each use case and suggests actions, guide users to perform necessary actions to improve business outcomes.
Natural Language Interfaces- Business users can easily access and consume analytics for their daily and strategic tasks through simple voice and text natural language interfaces. It eliminates the need for business users to rely on analyst or IT teams and get answers instantly, on the go. The platform understands intent, context of your query, processes it and responds in real-time.
Data Integration and Management- It can ingest structured and unstructured data from multiple sources and make it available for consumption by Manthan’s AI platform. This helps users get a more holistic view of the business and improve the quality of their decisions manifold.
Robust Platform- One of the key benefits of the solution is that it is easy to implement and offers high RoI.
Geographies and clients that the company serve:
The company has a global footprint and serves geographies like US, LATAM, India, SEA, MEA and Europe. Manthan serves as the Chief Analytics Officer for over 200 industry leaders like Starbucks, eBay, Landmark Group, Loves, Charming Charlie, Teavana, Crocs, Les Schwab, Comcast, McDonald’s, Ripley, Courts, SM Group and Robinsons.
TEG Analytics is a data-science-as-a-services company, helping organizations make decisions at the intersection of business, technology, and applied mathematics. TEG focuses on the alignment between the speed of business and speed of insights. Its proprietary FutureWorks, built on open source/ big data platform, provides hassle-free last mile analysis, reduces the time to market and increases the adoption of analytics throughout the client organisation. It has been associated with market leaders across industry verticals like retail, CPG, healthcare, BFSI in shaping strategy powered by analytics.
Employee strength:
The employee strength of the firm falls in the category of 50-200.
Key Analytics Solutions:
TEG offers solutions across retail, CPG, healthcare and BFSI sectors ranging from customer analytics, digital analytics, marketing analytics to database management, data visualization and machine learning. Notable product offerings include HealthWorks, FutureWorks, RetailWorks and DigiWorks.
Built on big data platform, FutureWorksImage may be NSFW. Clik here to view. provides hassle-free hosted analytics solution that caters to the needs of business users. Big data technology allows FutureWorks to provide actionable insights on near real-time data.
TEG’s HeathWorksTM, a solution powered by Tableau and publicly available healthcare data, helps payors develop an ability to predict in-market performance and reads the entire industry landscape to help them understand the competitiveness of their products. The process involves exhaustive data preparation, a judicious mix of traditional and advanced machine learning techniques and visual analytics.
RetailWorks, catering to the retail industry, focuses on complete industry landscape instead of client’s data solely as this helps the business users understand the competitiveness of their products. The process involves exhaustive data preparation; from scraping the data, collating them into one master dataset, transforming the variables and obviously the experience of doing it over the years for many clients.
DigiWorks consists of a suite of analytics models to help companies with strategic, operational and tactical decisions in their digital efforts.
Key Differentiators in Analytics Solutions:
TEG is committed to its vision of delivering Insights @ Speed of Business and provides hassle free analytics for its clients. It not only gives the numbers and model as solution but ties it with business and implement it in the organisational level.
Geographies that the company serve:
TEG serves North America and India. Major clients include Amway, Nike, Clorox, UHG, Fedex, Havas Media.
Image may be NSFW. Clik here to view.It is a top-tier analytics and consultative business process management company that enables intelligent processes, insight-driven decision making and smart technology-enablement for more than 300 clients across 11 industries. It has a large analytics practice with more than 2500 data scientists, researchers and domain experts, catering to analytics engagement. It has a wide range of service offerings that cut across industries including customer experience management, marketing analytics, campaign analytics and social media analytics apart from its industry focused analytics solutions driven by domain experts.
Employee strength:
It has over 2,500 employees working in the analytics division.
Key Analytics Solutions:
The company’s analytics services encompass the full suite of analytics offerings driven by big data and machine learning based products to deliver business outcomes to clients. Decision analytics by the company helps in sales and marketing analytics, CRM analytics, domain analytics, and more. Business intelligence and data management includes data management services, exploratory data analysis, MIS and reporting, dashboards and visualisation. It also provides services in analytics/ reporting data mart creation, BI portal development, strategic research and market intelligence, embedded analytics etc.
Key Differentiators in Analytics Solutions:
They use suite of proprietary big data, AI/ML enabled products with which they deliver transformational outcomes while also doubling up as platforms to deliver analytics-as-a-service. WNS is the only company that reports non-FTE revenues to the street and has over 30% of its revenues as non-FTE, which is an industry leading rate. It uses Centre of Excellence model to deliver analytics services to global clients. Its Analytics Innovation Center enables experimentation of new technologies and market trending tools.
Geographies and clients that the company serve:
WNS’ Analytics serves clients across the globe through their Centre of Excellence model. The delivery centers are spread across 52 delivery centers located in China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Sri Lanka, Turkey, UK and US. They work with 300+ clients globally out of which 80+ are analytics clients. Some of its clients are global insurance and reinsurance company, global multi line insurer, global hotel chain, airlines, retail majors etc.
While the trends that ruled 2017 were largely in the areas of analytics of things, artificial intelligence gaining prominence in businesses, growth of fintech analytics, rise of self service analytics, democratisation of data, mobile first omni channel strategy and much more, experts believe that many of these trends will continue to rule in the coming year too. There will be many others that would make a headway into the industry as 2018 marks another year in the Indian analytics industry.
While AI continues to rule the industry, chatbots are believed to be getting smarter at an accelerated pace with various industries adopting it at a large scale, largely to improve their customer experience. Experts believe that there will also be an increased adoption of analytics in healthcare, application of behavioural sciences in analytics and use of unstructured and alternative sources of data such as TV analytics, speech analytics, weather analytics will significantly increase, amongst many others.
We received close to 40 submissions from the industry stalwarts on the trends that they think would define analytics space in the coming year. After an intense study and detailed note on each of the entry, we bring to you 10 trends in analytics and artificial intelligence that professionals in this area should watch out for in the year 2018.
With Artificial intelligence (AI) and Machine Learning (ML) penetrating into virtually every sphere and industry, leading organisations are using machine learning–based tools to automate decision processes, while simultaneously using the power of artificial intelligence (AI) for digital transformation. While 2016 and 2017 were the years of prototypes, 2018 shows a clear trend of an increase in investment in big-data analytics and cloud.
The hype around AI – especially as applied to digital marketing – will continue to die down in 2018, and the applications that truly deliver some kind of tangible business benefit will come to the fore. Technology and software companies that say they offer AI will be increasingly faced with customers that demand to know exactly how the software qualifies as AI, and will have to clearly articulate exactly what the AI does.
Increasing velocity of change – Puts pressure on organizations to make better data driven decisions. What it means for the enterprise is to have the ability to derive insights from the data faster, and with greater accuracy. This will lead to cognitive/AI or machine learning functionality becoming an increasingly important ingredient in enterprise applications and analytics tools for automated insight generation.
At a macro-level, India will see more news stories of implementations of AI use cases in traditional industries such as manufacturing, healthcare, banking, pharmaceuticals and automotive. For example, in addition to the incorporation of new forms of unstructured data – such as images and voice recording – companies will also start to consider how to apply reinforcement learning techniques to build more dynamic systems for more challenging use cases.
Machine learning, much thanks to the exodus of open source projects from global providers, has gone mainstream. Most adoptions are in their trial phase, where enterprises are experimenting the ways in which they could customise the process output. Unstructured data analysis through machine learning will take a leap ahead of its contemporary scope of implementation, and find additional avenues of mainstream business applications.
2018 will see businesses adopting ML as part of their larger analytics strategy, pairing algorithms with the right tools and processes to find hidden insights in data without explicitly being programmed for where to look or what to conclude.
2 Unstructured & Alternative sources of data would be increasingly in use
Speech Analytics: Enterprises today are adopting omni-channel analytics to understand the voice of the customer. Deploying speech analytics completes the omni-channel analytics strategy of an organisation by analysing and deriving customer insights from speech data. Speech Analytics used to be a tool for Quality Analysts. Speech analytics has now become an important tool for Business Analysts of organisations to drive business outcomes.
TV Analytics: The year should see a significant spike in TV analytics mapping media spends to what consumers are watching on TV: which channels and shows are they watching at what time slots and for how long, besides determining exposure to TV commercials (TVCs). Brands will drive a lot of TV analytics to determine unique reach and frequency of exposure for not just their own TVCs but also for their competitors.
Weather Analytics: Globally, weather is a huge variable for business performance and one of the largest big data challenges – yet most business don’t have a strategy around weather. It’s time to Incorporate weather analytics to boost business operations and bottom lines while differentiating from the competition.
Unstructured data text, voice, images, videos are going to be add into standard mix of data elements used in everyday decisioning. Expect adoption of unsupervised techniques to generate features from unstructured data.
Abhijit Bose, Co-Founder and CEO of Ezetap
A large part of the Image may be NSFW. Clik here to view.Indian population still falls in the ‘unbanked’ category. This unbanked category comprises of merchants and consumers. Going forward, with the help of fintech analytics, payment solution providers will get credit and lending portfolios of people from even the most inaccessible regions of India, all on a single platform.
3 More Investment in Data Infrastructure, Platforms & Engineering
Indian companies have already witnessed the value analytics adds to their business. Data generated by Internet of Things (IoT) devices, apps, social media and other external sources will drive analytics usage further. Organisations today realise the importance of having a single source of data and they are heavily investing in building capabilities in this area. You will see an increased use of analytics platforms which consolidates data from various sources into a single platform.
With the evolution of cognitive and digital technologies, data today is the cornerstone of success for businesses. In order to stay relevant for the future, enterprises need to think data first and make data analytics a part of business strategy conversation. In 2018, we expect to see increased adoption of open source platforms such as Hadoop by developers and the development of scalable open platforms such as Apache Atlas will take centre stage. Moving forward, we will also see increased use of governed data lakes as it provides enterprises a single reference architecture, thereby enhancing business agility and improving decision making.
A key trend that’s been picking up in large data orgs over the last few years, is where focus on data ingestion & piping takes precedence over data consumption. Data Engineering as a field will grow even more in importance in 2018 and we will see even more talent being deployed in that area, in my opinion. Data architecture skills will come to fore and we will need to surpass engineering and ingestion issues before we get down to consuming information.
There will be increased demand for people who can integrate more and more data and provide it to a machine. Visualisation will be done by business people or machines. The overall needs of the industry for data science becomes higher, but due to packaging and commoditisation of AI, the demand for data scientists might actually become less as more and more data science gets packaged and becomes available for consumption by either ‘normal software people’ or business analysts or even business users.
In 2018, Hadoop will continue to go mainstream, with significant ROI for big data analytics now demonstrated across verticals. Large scale Hadoop deployments in Financial Services and Healthcare will increasingly augment and in some cases, replace the traditional BI/DW based data management systems across enterprises. The Hadoop ecosystem will continue to mature significantly with all the big distributions now offering data science capabilities.
The data from current IoT pilot rollouts (sensors, smart meters, etc) will be used to make smart decisions using predictive analytics. E.g., forecast electricity usage from each smart meter to better plan distribution; forecast power output of each wind turbine in a wind farm; predictive maintenance of machines, etc.
The Location of Things will drive IoT innovation: As a subcategory of IoT, the “location of things,” covers devices that sense and communicate their geographic position. Capturing this data allows users to consider the added context of a device’s location when assessing activity and usage patterns.
Manish Singhal, Founding Partner, pi Ventures
Sensors combined withreal time AI will lead to tangible
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real time business insights: Sensors will be cheap, ubiquitous and form the bridge between real-world physical objects and analytics systems. They will generate massive amounts of real-time data.
5Healthcare Industry is going to utilise Analytics in a Big way
Image may be NSFW. Clik here to view.Dr. Ashish Goel, Director and Head, Health Economics and Outcomes Research, RWE Scientific Affairs, IQVIATM, India
Lately, there has been keen interest from many stakeholders including pharmaceutical organisations and Ministry of Health to initiate the process of developing a framework for collection of such data, and ways in which it can assist health care providers in better clinical, economic and humanistic outcomes.
The rapid rise in global population and the time and years of experience it takes to train a doctor has led to the shortage of physicians around the world. Artificial Intelligence has the potential to add tremendous value to the healthcare industry. A synergy between AI and the doctor’s expertise holds the key to revolutionising the healthcare industry.
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Ganapathy V, Business Lead, Senior Director, Analytics-as-a-Service, PHILIPS Data Science & AI Group
Healthcare shifts (to low cost channels) likely enabled by IoT/ wearables/remote care; and that throws open a whole new bunch of data sets hitherto less analysed.
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Dr. Nupur Pavan Bang, Associate Director, Thomas Schmidheiny Centre for Family Enterprise at Indian School of Business
Various measures like mapping the hospitals, standardising treatment protocols, usage of standardised disease codes, linking health insurance service providers with each other and with uniquely identified hospitals to prevent fraudulent and multiple claims, are ongoing. We would see accelerated efforts to use analytics in healthcare to achieve more accurate and faster results.
6 Analytics is becoming increasingly pervasive & invisible
The way Analytics has been delivered and consumed has been evolving. It is a leap from offline reports and presentations to intelligent, embedded applications that are real-time. Thanks to the Artificial Intelligence technologies that made analytics invisible and pervasive. Now the users are able to simulate, experiment and track the analytics outputs. This is a wake-up call for analytics service providers to change the way they deliver analytics. AI is becoming increasingly pervasive and the preferred mode of delivery with analytics acting as the invisible driver for various applications.
Every process being an analytic application, the value for an organisation will be in the answers, not the data. As we look forward to the future, more products and technologies are leaning towards what can possibly be done with the large amounts of data that is already present, without the need of harvesting more data. Analytics will be the ultimate enabler for every industry including ad tech, and will become deeply, but invisibly embedded everywhere.
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Ashok Kumar, GM, L&T Technology Services
Edge analytics solves the issues of network traffic and server space constraints. Edge analytics focuses on analysing the data (with onboard analytics) and sharing the processed data on the cloud. This results in faster execution of data for further detailed analytics on cloud. Industrial Edge gateways are aimed towards providing local processing of raw data that improves time to response.
7 Chatbots to become smarter at an accelerated pace
AI based chatbots have been creating lot of buzz for quite some time now. 2017 saw chatbots having evolved enough to differentiate between many human emotions and respond accordingly. As the design and functionality improves, this feature alone has scores of practical applications. On the other hand, psychology analysis based marketing has just started to take off. From customer care to political negotiations to education, these bots can contribute significantly in as early as next decade.
Raj Bhatt, CEO, Knowledgefoundry
Chatbots will become truly smart by connecting with recommendation engines and forecasting algorithms and becoming able to answer questions like “Google which movie should I watch tonight”, or “Alexa what should I order from the Amazon Pantry?” or “Echo, please suggest a gift under $100 for my best friend Victor” or “Google optimise my electricity usage”.
Conversational interfaces could finally bring about the tipping point in widespread adoption of analytics. Having a natural conversation and getting answers to not just weather & traffic updates, but also financial operational metrics or deeper ‘why’ and ‘what if’ questions can transform not just businesses, but the consumer space. While this might take a couple of years to mature, we’ll see some firm, early steps & initial success stories in 2018.
8Robotic Process Automation expected to become the norm in the future
Ganes Kesari- Senior Vice President at Gramener
Organisations will double up on adoption of tools that will usher the next wave of enterprise automation. While robotic process automation (RPA) and the army of efficiency-based tools would eliminate tedious, effort-intensive tasks at one end, Artificial Intelligence and the class of machine learning techniques would take the sting out of complex, cognition-intensive tasks. Prepare to say hello to your digital colleagues!
IDC Worldwide Robotics team’s research suggests that developments in robotics will have the potential to disrupt the business ecosystem for all industries and hence will have significant impact on the companies functions. In coming years, it is estimated that 30% of all newly produced robots will be collaborative robots, who will function in tandem with human workers.
Businesses are trying to automate every process that can be modularised, packaged and scheduled. As a result, there will be a huge push towards robotic process automation. This in turn will give them time to focus on solving (new/more) problems.
9 Democratise Machine Learning through Cloud Based Analytics platforms
Anand Ekambaram, Country Head, Tableau India
As enterprises grow increasingly wary about being tied to a single legacy solution, evaluating and implementing a multi-cloud environment can determine who provides the best performance and support for each situation. However, while flexibility is a plus, this approach increases overhead cost by splitting workloads across providers and forcing internal developers to learn multiple platforms. With multi-cloud adoption on the rise, organisations must assess their strategy and measure adoption, internal usage, workload demands and implementation costs for each platform.
We will see a significant growth in the use of cloud based analytics platforms including Microsoft’s Azure Machine Learning, Google’s Cloud Machine Learning, and Amazon. This essentially means that innovation will be faster, more pervasive and accessible by organisations – small and large. Most of these platforms also make it easy to develop and train models using drag-and-drop functionality with little coding, hence organisations will be able to experiment quickly at a lower cost leading to wider rollout of Analytics in their products.
Shashank Dubey, Co-founder and Head of Analytics, Tredence
With the advent of sensors and wearables, the need to capture data from such devices (IOT) and analyse them on the fly have come to the fore. To cope with the ever-growing data size and storage requirements there will be a paradigm shift towards Cloud. Technologists and business leaders will show greater inclination to use the Op-ex centric cloud based model, as opposed to the capex based on-premise model (Typical rent vs buy scenario).
10 Increased Application of Behavioural sciences in Analytics
Organisations will realise in 2018 that quantitative data alone cannot help you truly understand customer behaviour and market trends as it does not account for the changes in people’s motivations and feelings. By using big data feeds that include news reports, blog posts, tweets, and social media content, it is possible to detect and monitor subtle shifts in sentiment. This provides the context to help understand why something is the way it is and if a change can be foreseen. Companies investing in qualitative data collection will be able to uncover the deeper, more human meaning behind big data with behavioural analytics.
Behavioural Analytics is about understanding what consumers do and how they act. It surfaces insights into consumer behaviour across a wide range of platforms from mobile, IoT, web, ecommerce etc. By applying data science, machine learning and advanced correlations to behaviour means it enables brands engage with consumers better.
Manish Singhal, Founding Partner, pi Ventures
We will begin to see the application of more qualitative fields like psychology and behavioural sciences in business. The beauty of AI is its ability to handle multiple streams of unstructured data from imprecise sources and find patterns in them. Businesses will be able to use this to understand their consumers more deeply and build better products and services.
The year 2017 has come to an end, and if I were to go by my timeline on social media, many of my friends and colleagues are heaving a collective sigh of relief.
For us in the field of analytics, this year has been a roller-coaster ride. Analytics is on its way to making itself an integral part of any organisations ecosystem, and automation and artificial intelligence is making a headway in large-scale industries.
From Google acquiring a small four-month old startup — its first in India — to young companies venturing into making smarter chatbots, the year 2017 has been quite fruitful. Who can forget drones delivering Amazon packages, or AI being used to do a variety of things ranging from artwork, literature, fiction writing, music, poems, as well as cooking.
This charming AI-powered robot became the first humanoid to be granted citizenship in any country. UAE, which welcomed her with open arms showcased itself to be much readier and accepting of newer technologies.
But one of the key things that stands out this year is the open debate between famous personalities on the use of Artificial Intelligence. Yes, the debate has been going on since a very long time, but this year, many of the tech giants — from Stephen Hawking to Elon Musk spoke of misgivings and a darker future if AI was not kept in check. India’s NR Narayana Murthy also called it a “hype” and spoke about how the freshers were losing out on big salaries because of it.
Despite all this, what warms the hearts of Analytics India Magazine team members, is the open discourse and dialogue that has been opened this year regarding these concepts which were considered too “high brow” or “technical” once upon a time.
Image may be NSFW. Clik here to view.AI education is still in its early days. Sifting through some of the programs on Artificial Intelligence from around the world, we found that not many educational organizations are offering AI courses yet. Most universities that are offering AI courses are doing so as a specialty of elective within larger computer science masters programs.
Yet some universities, mostly in europe, have a headstart in this area and are providing dedicated masters programs in AI.
For this year’s ranking, data scientists from various organisations and those working independently, were considered, irrespective of size and nature of work. Like last year, we also got in touch with data scientists that we know personally who might not necessarily be associated with an organisation.
The top 10 names were concluded based on various parameters like pedigree, patents, papers and technical publications authored, competitions participated, pioneering work, knowledge and applicability of tools, ability to convince multiple stakeholders through data insights and many more.
Image may be NSFW. Clik here to view.After an extensive research and brainstorming, we bring to you the names of 10 such emerging analytics startups that hold a promising future. And just like last year, the task wasn’t easy, as every startup has a competitive edge to offer over others. Read below to find out 10 emerging analytics startups in India to watch for in 2017.
Today, robotics finds usage beyond manufacturing and more towards areas like ecommerce, logistics, retail, healthcare etc. Robotics also has significant overlap with Artificial Intelligence. Here we list down 10 new age robotics startups in India (in alphabetic order) that are broadening the horizon of what robots are all about.
With a lot of development in AI happening around the globe, India is coming up with equally unique perspectives on the field, as their other developed counterparts. Apparently, in India alone the number of start-ups booming in the space touches 200+, with investments flowing from all major investors.
AIM lists down 10 such emerging startups in the space that are leading the race. From HR, education and other analytics driven industries, these AI startups are making a headway in all the major sectors.
Our learning corner gets the best technical stories around data science and AI. The emphasis is to help developers and aspirants to know more about this field. 5 most popular stories in this section are:
This is the section where we speak about the latest ideas, insightful listicles and opinions about the industry. Most of our contributed articles from guest authors also go here. 5 most popular stories in this section are:
The year saw a declining trend in the VC funding for Indian startups in data analytics compared to the year 2016. Yet, Indian Venture Capital (VC) firms have shown significant interest in home-grown startups, which is a good sign for the Indian analytics scenario, as it can lead to more adoption of analytics, among other benefits.
To get a quick insight into the analytics funding scenario in India, Analytics India Magazine conducted an independent study, where we have listed down the key findings on investments and funding trends and how the startups fared compared to last year.
The study includes numbers for only startup funding and not acquisitions for the year. However, some of the key acquisitions of the year 2017 are:
Halli Labs, a Bengaluru-based AI startup is acquired by Alphabet Inc.
4i Inc, analytics consulting startup acquired by Fractal Analytics.
Zarget, a SaaS startup acquired by Freshworks for $18M.
OSSCube, a US startup acquired by Happiest Minds.
Pragamatix, a retail analytics startup acquired by Crisil for ₹56 Crore (completes acquisition on 24th Jan 2018).
DataWave (previously known as ETL Factory) acquired by HCL Technologies for approximately ₹58 crore.
Big ticket funding in 2017
Like the year 2016, Qubole bagged a major investment of $25M from rising investors such as Singtel Innov8 and Harmony Partners. This adds to the list of their existing investors Charles River Ventures (CRV), Lightspeed Venture Partners, Norwest Venture Partners and Institutional Venture Partners. Qubole, a startup firm which provides enterprise software and big data solutions is reportedly the largest cloud-agnostic big data platform in the world, growing revenue at more than 100 percent year-over-year.
Another in the list is Unbxd, an AI supported e-commerce platform, that received $12.5M from Eight Roads Ventures, which is based in Bermuda and operates mainly in UK, China, Japan and India.
Flytxt, an AI based startup that deals with marketing automation solutions received $11M in a series A funding by German investors, DAH Beteiligungs GmbH.
This year saw a drastic decline in funding when it comes to the analytics/ data science startup environment, compared to last year which totalled at $210M invested across 20+ deals. This can be attributed to the fact that most companies looked at acquisitions rather than investing in startups. Majority of the investments that flowed in were by foreign agencies, indicating their considerable interest in India’s economic rise, especially in technologies like analytics, big data and artificial intelligence.
The year began with no significant funding activities in the month of January and February, which took a strong upside from March, eventually reaching a peak in June and getting stagnant from July to October. The months of November and December showed a big influx in funding — $45.7M, with many foreign investors at play.
While the year 2016 saw a rise in angel activity, 2017 was mostly scattered around Seed and Series – A type funding. The influx of startups in areas like video analytics, virtual reality assistance, computer vision technology and so on, have grabbed attention of these investors. Some of the firms that received seed and Series A funding are FORMCEPT Technologies and WiFi analytics startup i2e1.
Comparison from last year
In 2016, Series C funding dominated the startup sectors. However, when it comes to 2017, the funding took a dip by 53 percent. This is because VC firms invest in startups which are stable and bring more investing opportunities such as initial public offerings (IPO). Generally, it takes around 5 to 10 years for a company to mature in terms of financial gains and market footing. In the coming years, analytics startups will gain traction and are likely to receive large Series C funding. On the other hand, Series A, B and Seed funding have picked up well in 2017.
Investment in analytics for this year based on major cities in India
Bengaluru has always been the hotbed of startup funding activity and continues to do well with most of the investment coming from there. Thiruvananthapuram receives the highest funding, with Flytxt accepting $11M for its Indian-based operations here, and would open up more investment opportunities. New Delhi, Mumbai and Gurugram trail behind with low investment, unlike last year where Mumbai was leading the game with most number of investments.
Yet again, Bengaluru picked the game with 17 startups bagging the most investment. Although, the number is less in major cities like New Delhi and Mumbai, other cities like Chennai and Thiruvananthapuram are grabbing attention from investors.
Funding for AI startups is on a rise, just like last year
Apart from analytics startups, there were major investments in the startups working on artificial intelligence, NLP and machine learning. Niki.ai received a $2M Series AI funding from SAP.IO and Unilazer ventures in June 2017, AI healthcare startup Mfine secured seed funding from Stellaris Venture Partners, among others.
It may seem that the trend for funding is going downhill, but investors and companies have a differing opinion. Investors believe that the investment in analytics startups will be more profitable if the startups go public on stocks and shares, and likewise companies collaborating with these startups share that the technology would help them cut incurring costs. However, startups must optimise its resources well so that they don’t fall behind in the race.
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