As part of the annual ranking process, Analytics India Magazine, brings all the aspiring Data Scientists this year’s ‘Top 10 Analytics Training Institutes in India’. AIM has been conducting this ranking for four years now and has successfully provided insights into the analytics education world.
The journey for this study started 2 months back where each institute was analyzed minutely on various parameters to come up with the finest 10 training institutes out of the 18 nominations received by AIM.

The institutes have been ranked on 5 parameters viz Course Content, Pedagogy, External Collaborations, Faculty and Other Attributes like, Placement Assistance, Virtual Labs Events, LMS, etc. For every participating institute, each parameter was rated on the scale of 1-5 where 1 is for Worst and 5 is for Best to arrive at an overall ranking. Also, all parameters were assigned equal weights to get to the final ranking. Apart from these parameters, student as well expert feedback has been taken into consideration to arrive at this year’s ‘Top 10 Analytics Training Institutes in India’.

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.

1.  Jigsaw Academy

Headquarter City: Bangalore

Cities of Operation: Global. Online training.

Year of inception: 2011

Flagship Analytics Program: Data Science with R which dove-tails into Big Data Analytics

Mode of Delivery: Online Training with Virtual Classroom and Virtual Lab

Founded in 2011 by Gaurav Vohra and Sarita Digumarti – who have worked in some of the leading analytics companies around the world- Jigsaw Academy provides training in the field of analytics and Big Data. The academy has been growing rapidly year after year since its inception and has the record for  training the most number of analytics professionals in India. Alumni of Jigsaw Academy are present across the breadth of analytics companies.  The constant endeavour to improve their teaching methodology and have the most up to date content is what distinguishes Jigsaw Academy from other training providers.

Course Content (Rating 4.6): Jigsaw Academy has a unique method to deliver the best designed course content. Jigsaw Academy hires subject matter experts from the industry to build out a curriculum which is most relevant to a specific role in the industry. For example, the flagship course offered by Jigsaw Academy on Data Science with R was designed by an aero-scientist who was working at one of the world’s foremost aircraft manufacturer while he was creating the course. This model ensures the course content meets the career objectives of  not only aspiring students but also aspiring professionals at various stages of their careers. The course content is in-depth and comprehensive in nature enabling a trainee to be industry-ready for a particular role. Also, continuous feedback from ongoing batches to improve the course is a key differentiator for Jigsaw. They claim to have a CSAT of 4.81 on 5.

Pedagogy (Rating 4.8): The focus of Jigsaw’s pedagogy is providing practical hands-on training to its students. Hence, in line with this pedagogical philosophy, their courses are designed in a way, that it emphasizes hands on learning by using large and actual business datasets for students to practice on the Jigsaw Lab. Case-studies also focus on practical industry problems. Strong industry exposure is also provided via multiple data science contests using datasets provided by different companies.

Faculty (Rating 4.7): 100% of the instructors at Jigsaw Academy have analytics industry experience allowing them to teach from a practical view-point. 30% of them hold a PhD. The best part is the faculty to student ratio of 1:30 which provides for better interaction and support.

External Collaborations (Rating 4.8): Jigsaw Academy boasts of quite a few external collaborations which include SDA Bocconi (Europe) ranked 7th Worldwide in Business & Management, IIM Bangalore, Manipal Education, SOIL and IFIM .

Other Attributes (Rating 4.9): Jigsaw Academy has been the pioneer for virtual labs in the analytics space in India. The institute also conducts several hackathons and webinars as part of the continuous learning experience. Jigsaw has its own LMS, the Jigsaw Learning Centre (JLC), which is robust and provides all the learning material along with case studies and assignments to students. They also have an in-house film team which include National Award winners, who ensure that the course content is not only relevant but also interesting to view and easy to learn.

The overall rating for Jigsaw Academy is 4.76

2.  AnalytixLabs

Headquarter City: Delhi-NCR

Cities of Operation: India, USA & South East Asia

Year of inception: 2011

Flagship Analytics Program: Business Analytics 360, Advance Big Data Science

Mode of Delivery: Online and Classroom

AnalytixLabs is a training solutions firm led by McKinsey, IIM, ISB and IIT alumni. They offer a wide array of courses spanning across Data Science, Big Data Analytics and Data Visualization along with global certifications. In addition to individual professional training, they also deliver training programs to corporates.

Course Content (Rating 4.6): The crux of AnalytixLabs courses is training students for the various job roles in the analytics industry. Hence the courses are designed keeping in mind the job responsibilities of these roles and are validated by professionals from that field itself. The courses offered are at various levels starting from Beginners to intermediate to advanced level allowing students to choose based on their capabilities.

Pedagogy (Rating 4.7): Providing practical training to its students is at the heart of AnalytixLabs’ pedagogy. As part of this, the training includes lot of case examples close to real-life situations to get the students prepared for their jobs. Also the institute blends all three ways of learning modes – classroom, live online and video-based for an effective training program delivery.

Faculty (Rating 4.6): A lot of faculties at AnalytixLabs come with industry experience from firms like McKinsey, Deloitte, Genpact, Fidelity and Facebook. On an average, the faculties have 8-10 years of hands-on experience in the field of analytics.

External Collaborations (Rating 4.6): The institute has two strong external collaborations – One with Wiley for the Big Data certification and second with Databyte Academy in Malaysia to deliver their courses and this is recognized by HR Ministry of Malaysia.

Other Attributes (Rating 4.6): The institute provides complete placement assistance to its students. A team of professionals help the students right from creating their resumes to getting them ready for the interviews. AnalytixLabs provides various platforms to the candidates to install and use the software based on their course.

The overall rating for AnalytixLabs is 4.62

3. International School of Engineering (INSOFE)

Headquarter City: Hyderabad

Cities of Operation: Hyderabad, Bangalore

Year of inception: 2011

Flagship Analytics Program: Certificate Program in Big Data Analytics and Optimization

Mode of Delivery: Classroom

INSOFE is an institute training students and working professionals in Applied Engineering with current focus area in Data science/Big data analytics. In its endeavour to provide quality education to its students, INSOFE works towards creating their courses in a way that meet the complex industry demands.

Course Content (Rating 4.5): An amalgamation of conventional methods and cutting edge technology is what defines the courses at INSOFE. As a key differentiator, INSOFE is adding value to its course by including cutting edge technologies like matrix factorization and deep learning methods. The course starts from the basic skills needed to be a data scientist and gradually moves to practical applications.

Pedagogy (Rating 4.5): INSOFE’s pedagogy puts weightage on 3 stakeholders -industry, universities and fellow practitioners to make their students competitive. The institute takes requirement/ inputs from its 3 stakeholders to design their curriculum.   

Faculty (Rating 4.9): All the faculty members at INSOFE hold a Phd. In fact 2 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’ clearly showcasing the quality of INSOFE’s faculties.

External Collaborations (Rating 4.5): INSOFE has tied up with companies, Soothsayer Pvt. Ltd and iCube individually to build a data science center and Intuceo, (a business user interface) respectively.

Other Attributes (Rating 4.5): INSOFE has some leading name in the industry participating in its placement drive giving the students an excellent opportunity to start with. The institute has an in-house set up of Amazon cloud currently in use and is being expanded and upgraded to a much larger cluster.

The overall rating for Internation School of Engineering is 4.58

4. Edvancer

Headquarter City: Mumbai

Cities of Operation: Online hence Global

Year of inception: 2013

Flagship Analytics Program: Certified Business Analytics Professional (R & SAS)

Mode of Delivery: Online

Edvancer provides training in analytics, data science & big data globally and has trained over 3,000 people till now. It is an IIM-IIT alumni venture which aims at creating an online analytics knowledge hub to meet the learning needs of all kinds of professionals interested in analytics.

Course Content  (Rating 4.4): Industry experts are roped in by Edvancer to create/revise their course content as part of the process. The courses have been designed keeping in mind the skills sets needed to enter the analytics industry. It emphasizes on providing hands-on practical training to students with real-world case studies.

Pedagogy (Rating 4.8): Edvancer follows the pedagogy of ‘Self-paced + Faculty support’ allowing trainees to undergo training at their pace along with faculty support and guidance. Edvancer’s pedagogy encourages students to interact with their trainers so the virtual classes are almost near to normal classes.

Faculty (Rating 4.6): Edvancer faculties are industry professionals with 5-10 years of experience and are trained extensively in the online pedagogy before they take classes. With 20% faculties having PhD, the faculty to student ratio is 1:12.

External Collaborations (Rating 4.5): Edvancer is a training partner for various companies like PwC, E&Y, Deloitte, JP Morgan, GE, Colgate Palmolive, L&T, Eclerx, Microsoft, Max Life, SBI Life etc. Also, the institute has partnered with Wiley, the world’s largest education provider to provide a globally recognized certification in Big Data and Hadoop.

Other Attributes (Rating 4.4): Edvancer has a mix of big corporates and startups as part of their placement drive. Also, the institute conducts analytics hackathons and free webinars on analytics and big data to guide the trainees.

The overall rating for Edvancer is 4.54

5. SAS® Academy for Data Science

Headquarter City: Cary, NC, USA

Cities of Operation: Operation across 60 Countries

Year of inception: 1976

Flagship Analytics Program: SAS Certified Data Scientist

Mode of Delivery: Classroom and Live Web Classes

Incepted in 1976, SAS is one of the oldest training institutes for analytics. SAS Academy for Data Science offers 3 programs in the field of analytics– certifications in big data, advanced analytics and data science.

Course Content  (Rating 4.2): Experts from the analytics background are part of the team creating course offered by SAS. The programme not only focuses on providing theoretical knowledge but also hands-on practical training.

Pedagogy  (Rating 4.5): SAS pedagogy is based on the principles of experiential learning. Also as an endeavor to provide practical training, the institute includes industry relevant projects and case studies. For each module, there is internal and continuous assessment so the trainees receive continuous feedback about their performance.

Faculty  (Rating 4.7): 70% of the faculties at SAS hold a PhD. Also, the faculty members are experienced with an average of over 10 years of teaching and training experience. Faculty to student ratio is 1:15.

External Collaborations  (Rating 4.8): SAS Education has academic alliances with some of the leading global universities like North Carolina State University, The University of Alabama to name a few. Also in India, SAS has partnered with various premier academic institutions like ISB, IIMB, IIML, IIMC, NMIMS

Other Attributes  (Rating 4.4): SAS provides 24*7 access to SAS software and course materials to its trainees during the program. SAS has its own in-house virtual learning environment.

The overall rating for SAS is 4.52

6.  Imarticus Learning

Headquarter City: Mumbai

Cities of Operation: Mumbai, Chennai, Bangalore, Delhi, Pune, Hyderabad, Jaipur, Coimbatore

Year of inception: 2012

Flagship Analytics Program: Certification in SAS & R

Mode of Delivery: Online and Classroom

Established in 2012, Imarticus is one of the Analytics professional education company, which assists individuals and firms in meeting their human capital and skillset requirements.  Headquartered in Mumbai, Imarticus has classroom and online delivery capabilities across India.

Course Content  (Rating 3.9): The fundamental principle behind Imarticus’ course content is imparting in-depth knowledge of the analytics tools clubbed with key concepts of Data science and other related areas. Also to provide hands-on experience to the students, Imarticus provides a rigorous industry mentorship process to help the them prepare on upcoming trends and challenges in the analytics industry.

Pedagogy  (Rating 4.2): Imarticus’s pedagogy focuses on promoting constant discussion among the trainer and trainees. Also the pedagogy promotes group work among trainees and puts them under rigorous training process to build their ability to work under pressure.

Faculty  (Rating 4.3): Imarticus team of faculties is led by senior professionals from universities such as Columbia, MIT, and Harvard with a combined experience of technology and analytics.

External Collaborations  (Rating 4.5): Imarticus has quite a few external collaborations under their name. The institute is a National Skill Development Corporation (NSDC) training partner. Also it has come together with NSE to increase the awareness of the securities markets. Other collaboration include Chartered Institute for Securities & Investment and International Institute of Business Analysis.

Other Attributes  (Rating 4.5): The institute has won numerous awards in the space of education. Imarticus has an excellent placement record of around 77% placements in the last few years.

The overall rating for Imarticus is 4.28

7.   Ivy Professional School

Headquarter City: Kolkata

Cities of Operation: Kolkata, Bangalore, New Delhi, Pune & Online

Year of inception: 2007

Flagship Analytics Program: Diploma in Data Science

Mode of Delivery: Online and Classroom

Ivy Professional School (Ivy) provides Big Data Science & Analytics education in the country. They offer a wide range of courses from certification courses on Analytics to Big Data Science, SAS, R, Python, R, Excel.

Course Content  (Rating 4.0): IVY’s course content are designed to adhere to the industry requirements. These courses are already being used by Analytic companies for their internal training purpose proving its acceptance by industry.  Other highlights being live projects and internship opportunity.

Pedagogy (Rating 4.1): IVY’s pedagogy is based on four pillars- See, Act, Interpret and Assess. See what the trainer demonstrates, Act on a real data set, Interpret the results to generate insights, and participants are Assessed on their work. Other highlight being availability of physical classroom in multiple cities.

.Faculty (Rating 4.0): Ivy’s core faculty team has experience with some of the leading organizations in the analytics industry and around 20% of them hold a PhD. Faculty to student ratio is 1:12.

External Collaborations (Rating 4.5): External collaborations of the institute include Indian as well as global universities. Also Ivy in association with Maharishi University of Information Technology Noida has founded the School of Data Science which offers various courses in this stream. The institute is an official learning partner of companies like Genpact, Capgemini, HSBC, ITC, ICRA, Moody’s.

Other Attributes (Rating 4.5): Around 85+ analytics companies participate in the placement drive of the institute. Also Ivy’s cloud based virtual, Practice Sandbox, provides participants with after course remote access to the same software tools used in the course with large data sets.  Ivy has its own LMS – new Adaptive Learning Management System (iALMS) to create a competitive learning environment using its unique Leaderboard feature. 

The overall rating for Ivy Professional School is 4.22

8. IMS Proschool

Headquarter City: Mumbai

Cities of Operation: Institute operates in 9 cities across India

Year of inception: 2014

Flagship Analytics Program: Business Analytics Course

Mode of Delivery: Online and Classroom

IMS Proschool is an initiative of IMS Learning Resources. IMS Proschool has associated with NSE India to offer Business Analytics Certification Program. Also the institute is a partner of NSDC – National Skill Development Corporation, an initiative of Union Ministry of Finance to provide skill development training to the youth.

Course Content  (Rating 4.1): Joint Certification from NSE – India, IMS Proschool and NSDC makes the course offered by the institute a distinguishing one. This is coupled with hand-on training and cases studies from various domains to make the students industry-ready.

Pedagogy (Rating 3.8): The pedagogy adopted by IMS Proschool is of taking inputs from both the academicians and industry people for preparing the course. Also to train students an opportunity with Capstone Project  is provided to apply their learning.  

Faculty (Rating 3.8): The faculties at IMS Proschool come from institutions like IIMs, IITs, ISB and have over 5 years of experience in the field of analytics.

External Collaborations (Rating 4.2): The institute has two very strong national level collaborations with NSE India and National Skill Development Corporation for their analytics program. Apart from this, Proschool offers Business Analytics program to quite a few educational institutions  in India.

Other Attributes (Rating 4.4): The institute organizes regular webinar by Industry professional on various analytic topics to give their students a feel of the industry. Also Proschool has developed its own proprietary LMS which is available on both desktop and mobile

The overall rating for IMS Proschool is 4.07

9.  NIVT

Headquarter City: Kolkata

Cities of Operation: Kolkata

Year of inception: 2003

Flagship Analytics Program: NIVT Certified Analytics Pro (NCAP).

Mode of Delivery: Online and Classroom

Incepted in the year 2003, NIVT imparts technology training to young professionals in niche areas starting from beginner’s courses to Data Analytics, Business Intelligence tool and other emerging technologies. The Institute aims to fill up the huge skill gap in the analytics industry across pan India.

Course Content  (Rating 4.0): NIVT’s courses aim at making its students prepared for  industry roles. And to meet this objective, about 80% of the training during the course is hands-on. Also students are exposed to real time industry case studies in line with their main objective of making students industry ready.

Pedagogy (Rating 3.7): NIVT provides practical training to its trainees through live project work and case studies which are more relevant in the industrial requirements. Also NIVT works on upgrading courses and delivery processes frequently to meet the ever changing standards of the industry.

Faculty (Rating 4.0): The faculties at NIVT are a mix of industry professionals and people with good amount of teaching experience in the analytics field.  About 20% of faculties hold a PhD and an excellent faculty to student ratio 1:5 to provide personal attention to students.

External Collaborations (Rating 4.1): NIVT is affiliated to NCVT, DGE&T, Govt. Of India, Ministry of Labour & Employment for the ICT sector in West Bengal. Recently, the institute has collaborated with the renowned business school, United World, as their Analytics training partner.

Other Attributes (Rating 4.1): NIVT makes its student’s interview ready and provides analytics job related information in a timely fashion. The institute uses Blackboard, an online tool, to create Virtual Labs for collaborative learning. Also the institute organizes events, seminars and workshops on Business Analytics in various colleges.

The overall rating  for NIVT is 3.98

10. OrangeTree Global

Headquarter City: Kolkata

Cities of Operation: Kolkata, Durgapur, Mumbai, Pune, Bangalore and Hyderabad, Gurgaon & (Chennai 2017)

Year of inception: 2009

Flagship Analytics Program: Business Intelligence and Business Analytics Program (BIBA)

Mode of Delivery: Online and Classroom

OrangeTree Global is a Business Analytics and Business Intelligence Training organization with Centers across India. The organization focuses on Business Intelligence tools like SAS, R, Python, Hadoop, Machine Learning, SPSS, VBA.

Course Content (Rating 3.7): OrangeTree Global courses are job oriented and make a student industry ready. Also mentorship by industry professionals add value to the course content bringing in the practical aspect to make student job ready. Live projects add on to the practical approach taken by the institute.

Pedagogy (Rating 3.6): The institute believes in adopting a pedagogy of bottom-up approach to instil a clear understanding of expectations of analytics professionals from the industry. The institute also revises the programme annually to keep their course abreast of the changes in the industry to make it more industry relevant.

.Faculty (Rating 3.9): A huge number i.e .close to 60% faculties at OrangeTree Global are with PhDs. Faculties are trained by industry specialists so that they are abreast of all the industry knowledge which they can impart to the students.

External Collaborations (Rating 4.1): OrangeTree Global is the official Analytics training partner for Computer Society of India. Also the institute has a tie-up with State Government of Jharkhand to offer their courses across national and state universities throughout Jharkhand.

Other Attributes (Rating 4.0): OrangeTree has some of the leading companies from the industry like TCS Analytics, Genpact, HSBC Deloitte, Fractal Analytics participating in their placement drive. Also the institute organizes hackathon and analytics related events. Virtual Labs are available to students to gain hands-on experience on analytic tools.

 The overall rating for OrangeTree Global is 3.86

The post Top 10 Analytics Training Institutes in India – Ranking 2016 appeared first on Analytics India Magazine.

Chatbots have taken the position to be your very personal chat assistants, whether as a tutor or a fashion counsellor, thanks to the ever-evolving technologies. Though bots have been around for quite a while, the recent surge in artificial intelligence and natural language processing has made it popular like never before. And with the ever increasing numbers of smartphone users, accessing chatbots have become both fun and easy.

Posing many competitive advantages over apps, these chatbots require no downloads, can be instantly used, it is easier to build and upgrade and most importantly faster and cheaper than apps.

While on one hand it has many advantages, on other hand its effectiveness in conversing with a human without a human intervention is often questioned. There certainly are questions that bots might not handle well, but the booming artificial intelligence gives a hope on the lacunas that it can overcome.

With its own plus and minus, let’s read on to the most popular chatbots making headlines from India that have been automating the tasks you otherwise would have spent hours in doing. (Listed in Alphabetical order)

AISHA by Micromax

This voice assistant by Micromax is our very own Indianized version of Siri. It can perform tasks like initiating a google search, giving movie reviews, make calls, read news, view stalk market details and much more. Artificial Intelligence Speech Handset Assistant is all about AI in its backend that makes it one of the most popular bots in India.

 

Engazify Bot

Founded by Purva Surse and Siddharth Shekhawat, Engazify Bot is a faster and better way to appreciate your teammates, capture all your team wins, and save it for everyone to see. It fosters a culture of peer recognition by appreciating their work and celebrating the same by gamifying the whole experience. It lets you chat with him, ask questions or give feedback just like any other friend in your team.

GoHero.ai

Founded by Snehal Dhruve and Bineet Desai, this AI powered personal travel agent is available across nine platforms such as Facebook Messenger, Telegram, Skype. It assists you in booking flight, hotel, taxis etc. It integrates with messaging apps to use sophisticated algorithms and understand traveller’s preference. The chat screen allows the users can review pricing and availability of tickets.

Gupshup

One of the most advanced bots and messaging platforms, it enables developers to quickly and easily build, test, deploy and manage chatbots across all messaging channels. It offers application programming interfaces, with which software programs can interact with each other for all the popular messaging platforms, including SMS, Facebook Messenger, Slack, Telegram and Teamchat.

ixibaba by ixigo

A chatbot that can answer all your travel queries, brought to you by ixigo is the perfect example of how companies are improving on interacting with customers and enhancing customer experience. This AI bot can provide quick and quirky answers to all travel related queries much faster and instantaneously than a human could. Travellers can talk about flights, hotels, cabs, vacation destination etc. It also provides real-time information about weather, travel routes, flight timings etc.

MagicX

One of the first bots on the facebook messenger, MagicX lets you carry day-to-day tasks like bill payments, recharge, food ordering, flight booking and other services via chat, enabled off course by AI. It has a tendency of learning more from human interaction, giving a sense of more human like responses, but highly scalable at the same time. It has tie-ups with more than 20 e-commerce, recharge, grocery, travel and bill payment platforms.

Niki.ai

Whether a pre-paid, post-paid or DTH recharge, paying electricity bills, booking a cab, getting a laundry or ordering a burger from burger king, this chatbot assists you in all of it. Celebrating its inception in the year 2015, Niki has attracted funding from the likes of Tata and Ronnie Screwvala. This fully automated chatbot works up on the concept of artificial intelligence with no human intervention.

Recharge Bot by Payjo

Payjo is India’s first messenger bot that lets you recharge your phone, sets reminder for recharge and shows suitable plans for your number. In short, Recharge Bot supports intelligent balance reminders for prepaid phones. The biggest advantage of this chatbot is its availability languages other than English. It currently supports hindi, tamil, telegu and kannada.

Skedool

Launched by Deepti Yenireddy and Naveen Varma Alluri, it aims at automating repetitive everyday tasks for business executives, sales and recruiting professionals. A blend of artificial and human intelligence, it handles your B2B scheduling and calendar management. It has raised substantial amount of funding from prominent Silicon Valley and Indian technology investors including Kludein LLC, Narayan Ramachandran and Pranav Pai, investing on behalf of Mohandas Pai among others.

The AI assistant is named as Alex and uses natural language processing and machine learning supervised by humans to enable customers to communicate with the service via e­mail just as they would with a human executive assistant.

Yana

With the founders claiming this chatbot to be an 100% automated artificial intelligence engine with no human interference, YANA help users to book cabs, order groceries, etc. The chatbot’s intelligence has been developed by it’s more than 50,000 messages that it has received over time.

The post 10 Chatbots from India making it big! appeared first on Analytics India Magazine.

The size of the Indian Analytics market is growing at a fast pace and so is the opportunities for the analytics professionals to dig into this field. With more and more companies relying on big data and analytics for better performance and results, the number of analytics service providers have evidently increased. And this indeed has led to a boom in people opting for analytics profession.

Like every year, Analytics India Magazine brings to you the list of 10 such companies that makes it to the most desirable analytics firm you wish you worked for! The list has been chartered after a thorough research conducted in the analytics community and lists 10 most popular and talked about analytics providers from India (in alphabetical order).

Read 10 Boutique Analytics firms in India you wish you worked for in 2015

Bridgei2i

Founded in the year 2011, BRIDGEi2i Analytics Solutions, today is one of India’s most sought after Analytics companies. With a comprehensive solution portfolio across Marketing, Sales, Supply Chain & Risk functions and industry verticals, BRIDGEi2i has built an impressive customer base globally. The company’s focus on talent, innovation and culture has been the key to such a phenomenal growth story.

The freedom to take complete ownership, ideal support system, flat organization structure, a culture that thrives on collaboration, camaraderie and creativity are some of the reasons that makes BRIDGEi2i a conducive place for its employees. With a trained focus on outcomes, employees engage in the healthy exchange of ideas, views and perspectives and work towards a unified vision of providing best in class analytics solutions and customer delight.

Headquartered in Bangalore, with offices across the U.S, BRIDGEi2i Analytics Solutions has been recognized by Deloitte Technology Fast50 in 2015.

“Our employees get opportunity to build analytical solutions for distinct business problems and to expose themselves to diverse functional areas. Additionally, they get the chance to learn problem solving skills and advanced analytics concepts and techniques. With strong domain expertise, technology focus and the right talent mix, we are well poised to become one of the top global analytics firms over the next couple of years.’’ – Prithvijit Roy, CEO, BRIDGEi2i Analytics Solutions.

Brillio

We are a global technology services firm focused on digital transformation. Brillio develops and deploys disruptive solutions which help our clients compete more effectively and capture business value faster.

Regardless of where an organization is in their Big Data journey, Brillio’s end-to-end data and analytics capabilities enables organizations to leverage their sea of data, to drive high impact discoveries and make high confidence decisions. Brillio provides domain and functional expertise for industries such as retail banking, utilities, consumer packaged goods (CPG), retail, technology, and media and entertainment to enable organizations to utilize emerging technologies to create new and unique customer experiences, achieve cost efficiencies and gain competitive advantage.

The company intensified growth and brought new capabilities to customers with the acquisition of Marketelligent, an advanced analytics solutions provider. We also made investments in Albeado, a software company delivering predictive analytics and causal modeling solutions and Arundo, a predictive maintenance platform company for asset intensive industries.

Brillio is a global organization headquartered in Silicon Valley, with more than 2,500 employees across 10 offices, servicing more than 350 clients worldwide.

Cartesian Consulting

A global analytics firm specializing in customer, marketing and business analytics, Cartesian Consulting has helped brands across the world improve revenues and margins by helping them better utilize their data for business decisions and marketing interventions.

Their services have helped brands across various sectors such as Retail, QSR, Financial Services, Telecom, e-commerce, and Hospitality to improve their toplines by 5-10%, margins by 6-12%, and their ability to take better data-driven decisions.

Their ability to put advanced analytics quickly into a business context and create impact from it is what sets them apart. They work in three modes where they 1) analyze data, act on it, and put it into an Industrialized “always on” solution, 2) dive deep into a specific business problem and solve it 3) work to create a culture in an organization that is data driven and customer obsessed.

Founded in India in 2009, with offices in India, Singapore and North America, Cartesian is growing rapidly today with 150 employees working for over 50 brands in 10 countries.

EXL Analytics

EXL Analytics, a part of EXL (NASDAQ:EXLS), is a large and differentiated provider of advanced analytics to the global market. It provides data-driven, action-oriented solutions through statistical data mining, cutting edge analytics combined with a consultative approach.

It leverages its rich industry experience to transform its client’s decision making and help them dig deeper for solutions. With a team of 2,200+ data scientists, it assists client organizations with complex risk minimization methods, advanced marketing algorithms, pricing and CRM strategies, create regulatory compliance frameworks, and boost operational efficiency.

EXL Analytics serves the banking, insurance, healthcare, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industry verticals. The company has a strong presence in various analytics forums and special interest groups on machine learning and data mining.

Its data scientists have been recognized in top global analytics competitions (www.heritagehealthprize.com) and has been ranked a market leader and star performer by major analyst firms. EXL was recognized among “The 100 Most Trustworthy Companies in America” for the year 2015 by Forbes magazine.

Headquartered in New York, EXL has approximately 25,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

Flytxt

A provider of state-of-the-art big data analytics solutions for accelerating digital transformation of enterprises, Flytxt’s solutions span Digital Customer Engagement and Digital Services platform coupled with Technology Managed services and Business Consulting services. It has delivered significant business value to its clients by increasing revenue, enhancing customer experience and improving operational efficiency.

Flytxt solutions are powered by packaged analytical models built with machine learning and advanced analytics techniques that transform data to actionable insights, recommendations and actions. Since 2008, it has partnered with 100+ enterprises across 40 countries to transform their customer engagement with over 600 million customers.

The company has various recognitions and endorsements from thought-leaders including Pipeline Innovation Awards in Big Data and Analytics, Frost & Sullivan ICT Awards for Product Innovation Leadership in Marketing Analytics and Gartner – Cool Vendor for Emerging Markets.

It employees 400+ employees including Big Data Technologists, Telecom Marketing Consultants, R&D Engineers, Data Scientists and Big Data Operations Specialists.

Headquartered in Netherlands, it has a corporate office in Dubai and global delivery centers at Trivandrum and Mumbai in India. The company also has presence in London, Paris, Johannesburg, Mexico City, Singapore, Nairobi and New Delhi.

MachinePulse

MachinePulse™ is a provider of end-to-end, rapidly scalable solutions addressing data management and analysis requirements for Industrial Internet-of-Things segments with real-time Big Data analytics and decision sciences served via a cloud platform.

Working on the philosophy “Any Device, Any Network, Any Protocol”, they offer an entire product portfolio, from hardware to middleware to their cloud platform, to help customers extract value from their IoT initiatives.

They have built great domain specific applications using their products such as 1) SolarPulse which is India’s leading solution for monitoring and analytics of Solar PV plants 2) WindPulse, an advanced analytics solution to improve overall productivity and revenue of wind farms 3) FactoryPulse, an advanced IoT solution for optimizing productivity of assets and improving the bottom line.

MachinePulse is a part of the $16 B Mahindra Group and has an enthusiastic team of more than 75 data scientists, programmers, hardware and network specialists.

Quantium Analytics

Established in Australia in 2002, Quantium was founded by like-minded executives from actuarial and commercial backgrounds. It started out as a data analytics firm, helping businesses make better decisions using their data and since then they have grown into Australia’s largest and a globally recognized analytics partner that has a very unique approach to transforming how enterprises leverage data.

Quantium is passionate about their culture and believe in hiring people who care about each other and the community around. They encourage flexible and part-time work and champion work–life choices for their team.

With a strong foot in Australia, Quantium has expanded its reach globally with offices in India, South Africa and New Zealand. They have a well-balanced team of analytics professionals and software developers across their offices that cater to diverse sectors such as Insurance, Retail, FMCG, Banking and Media.

Tata iQ

Tata Insights and Quants (Tata iQ) is a unique analytics organization that embodies the pioneering spirit of the Tata Group. Incubated in early 2015 as the Tata Group’s Big Data venture; one can experience and witness the relentless excitement and adrenaline rush of developing analytical solutions for industries as diverse as retail, financial services, e-commerce, telecom, hospitality, automotive, manufacturing, agro-business and more. The sheer volume and diversity of data offering unlimited and unparalleled potential is nothing less than an El Dorado for analytics professionals.

Tata iQ promises one of the most intellectually challenging and satisfying work environment. On one hand, it works closely with academicians from some of the most reputed universities worldwide for developing cutting edge data science and data engineering solutions; it also closely partners with businesses to accelerate its adoption for superior data driven decision making and business performance; sometimes even in greenfield areas.

Tata iQ believes that the “time is now” to make intelligent analytics happen in India and is set out in its path with the best of analytics talent, a Big data ecosystem, and cutting edge data science and data engineering solutions in its ammunition to mine terabytes of rich untapped data and solve some of the most diverse set of business challenges across B2B and B2C sectors in India.

The Smart Cube

Established in 2003, The Smart Cube is a global professional services firm that delivers business analytics and research services to corporations, financial service providers, and management consulting firms.

The Analytics practice of The Smart Cube assists many fast-growing enterprises – including 20 Fortune 100 companies — across the value chain, using advanced analytic techniques such as statistical modeling and machine learning.  The Analytics team has grown so fast that the company has had to lease a whole new floor in its Noida offices, with a more than 100% growth rate over the last three years.

Open plan offices with lots of greenery, bright colors and a ‘Silicon Valley’ vibe contributed to helping The Smart Cube feature in the ‘Great Place To Work’ study of companies.  The company is committed to the holistic development of its employees through a mix of in-house and offsite training programs, extensive CSR initiatives and support for higher education and it prides itself on its open, transparent, flexible and meritocratic work culture. In addition, there are multiple fun events, competitions and parties throughout the year.

The company’s global HQ is in the United Kingdom with additional offices in China, Germany, India, Romania and the United States. To date, the Smart Cube has conducted more than 28,000 studies across virtually every major industry, function and region through its global team of more than 600 analysts.

ZS Associates

ZS is the world’s largest firm focused exclusively on helping companies improve overall performance and grow revenue and market share through end-to-end sales and marketing solutions—from customer insights and strategy to analytics, operations and technology.

The India offices are the Capability and Expertise Center (CEC) and house more than 60% of ZS people across two locations based in Pune and Gurgaon. The teams work in conjunction with onshore colleagues to deliver sales and marketing projects to their clients. The centers primarily support client projects based in North America, Europe and East Asia in the areas of Business Analysis, Business Operations and Business Technology.

As a firm, ZS partners with clients during all parts of the process, from analyzing issues to implementing solutions. Within each of these areas, ZSers collaborate with one another, ideate on possible solutions, develop expertise and make use of processes and tools that maximize efficiency.

More than 4,500 smart and talented ZSers in 22 offices worldwide draw on deep industry and domain expertise to deliver impact for clients across multiple industries.

The post 10 Analytics firms in India you wish you worked for – 2016 appeared first on Analytics India Magazine.

After 2 long months of in-depth and rigorous study, Analytics India Magazine is out with its annual ranking for ‘Top 10 Analytics Courses in India’. This being the fourth in the row, AIM has always been positively supporting its aspiring data scientists by providing them insights into the world of analytics education. We received 16 nominations for this study of which we have selected the finest, the best, top 10 analytics courses for all our aspiring analytics professionals.

The institutes have been ranked on 6 parameters i.e. Course Content, Pedagogy, External Collaborations, Faculty, Brand Value, and Other Attributes like, Placement Assistance, Virtual Labs Events, LMS, etc. Each participating institute has been rated on the 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. Equal weights were assigned to all parameters for the ranking process. Apart from these parameters, the study also considers student as well expert feedback before arriving at ‘Top 10 Analytics Courses in India’ for the year 2016.

Please note, this ranking is for long term analytics programs offered by Universities / B-schools in India. This does not include training institutes for analytics.

1.  PGP in Business Analytics & Business Intelligence – Great Lakes Institute of Management

• Headquarter City: Chennai
• Cities of Operation: Chennai, Bangalore, Gurgaon, Pune, Hyderabad
• Year of inception: 2004
• Duration of Program: 12 months
• Mode of Delivery: Weekend Classroom + Online

Great Lakes, one of the leading Business Schools in India, envisions of providing the corporate world with Business-ready Leaders. And it was in line with this vision, Great Lakes introduced their Post Graduate Program in Business Analytics (PGP-BA) to bridge the existing talent gap in the analytics industry. They have been among the first few institutes who came up with a program in Analytics.

Course Content (Rating 4.9): Great lakes analytics program blends Academic Excellence with Business Relevance to equip its students with skill sets required for managerial, techno-functional roles in Analytics. The curriculum is Industry Relevant which builds on the analytical foundation and industry oriented applications.

Pedagogy (Rating 4.8):  Great Lakes adopts a Blended Learning Environment (Weekend Classroom + Online) pedagogy to causes minimal disruption to work schedule.  The program is designed to transform candidates to business ready analytics professionals through hands on experiential learning.

Faculty (Rating 4.8): PGP-BABI being an industry application focused course has a large number of industry experts teaching. Around 50% of the classroom learning hours are delivered by distinguished industry experts.

External Collaborations (Rating 4.7): Great Lakes PGP-BABI is internationally recognized by Illinois Institute of Technology, Chicago, USA. Successful participants of the PGP-BABI program get a dual certification – a certificate from IIT, Chicago, USA in addition to the certificate from Great Lakes Institute of Management.

Brand Value (Rating 4.7): Founded in 2004, Great Lakes has, within a short span of 12 years, emerged as a top-ranked Business School. Great Lakes has lot of accreditations to its name. In 2014, Great Lakes was accredited by Association of MBAs (AMBA, UK) for its PGPM and PGXPM programs and became the youngest B-School in India to receive this prestigious international accreditation.

Other Attributes (Rating 4.8): The end-to-end career support activities are provided at Great Lakes PGPBA. Almost 66% of the PGP-BABI alumni have transitioned to Analytics roles either within their own company or in a new company.

The overall rating for Great Lakes Institute of Management is 4.78

2.  Business Analytics and Intelligence – Indian Institute of Management (IIM B)

• Headquarter City: Bangalore
• Cities of Operation: Bangalore
• Year of inception: 1973
• Duration of Program: 1 year
• Mode of Delivery: Classroom; Classroom and Distance mode (online)

Established in 1973, IIM B focuses on partnering with industry and leading academic institutions, the world over to enhance the output from their courses including their analytics program Business Analytics and Intelligence

Course Content (Rating 4.8): The course is designed to provide in-depth subject knowledge on basic and advanced statistics in addition to learning tools and techniques. Participants are encouraged to solve case studies to understand concepts better along with a capstone assignment post each module. A real life Industry project for a minimum of 6 months is mandatory as a part of the course to provide students with industry experience

Pedagogy (Rating 4.8): IIM B implies multiple ways to make the course more industry specific and practical in nature. Their principal way of teaching is Case-based teaching and lot of practical exercises during the sessions to give a hands-on exposure to participants.

Faculty (Rating 4.9): All the faculties at the institute have a PhD showcasing the experience of their faculties. Also numerous Speakers from analytics Industry participate as guest faculty.

External Collaborations (Rating 4.6): IIM has external collaborations with SAS, R and Python training consultants, Qlik team for imparting technical knowledge. Also the institute has industry connect with some of the prestigious organization for promoting good Industry-Student connect.

Brand Value (Rating 4.9): IIMB is the only Indian business school to feature among the Top 50 B-schools on the Financial Times Executive Education 2015 Rankings and has recently topped the list of best management institutes in the ‘India Ranking 2016’–the first-ever national ranking of universities by the Government.

Other Attributes (Rating 4.5): The institute organizes various events like conferences, workshops, and special classes in the field of analytics. The institute has Data center and analytics lab which gives access to census data and other data sources, and Big data lab for participants to run through larger datasets.

The overall rating for IIM B is 4.75

3.  Postgraduate Diploma in Business Analytics (PGDBA) – IIM Calcutta, ISI Kolkata, IIT Kharagpur (Tri-institute program)

• Headquarter City: Kolkata and Kharagpur
• Cities of Operation: Kolkata and Kharagpur
• Year of inception: 2015
• Duration of Program: 2 years
• Mode of Delivery: Classroom

3 institutes – IIM Calcutta, ISI Kolkata, IIT Kharagpur have come together to offer this unique Tri-institute program in analytics. The program is a two year full time residential program and is designed to create Business analysts and Data Scientists with skills in Statistics, Computer Science and Management.

Course Content (Rating 4.9): The highlight of the course is that it is a tri-institute program. Each of the three institutes focus on a separate area of business analytics, in accordance with its expertise and competence. Also there is hands-on business analytics training at a related company and  continuous interaction with industry leaders throughout the course to make students industry ready.

Pedagogy (Rating 4.9): The curriculum across the three institutes is taught with a balanced mixture of theory and praxis. The program leverages the strengths and mutual complementarities of the three institutes.

Faculty (Rating 4.8): The students are taught by reputed faculty as well as industry leaders from each of the three institutes. Currently 51 faculties are teaching a batch of 60 students.

External Collaborations (Rating 4.5): The program involves interactions with industry leaders from organizations such as Microsoft, Xerox, SAS, American Express, SBI, Deloitte, KPMG, PwC, Flipkart.

Brand Value (Rating 4.9):  All the three participating institutes are globally renowned institutes. IIT K has bagged the National IP award 2016 for Top Indian Academic institution for Patents. IIM C was the first management institute in India to be credited by AACSB, AMBA and EQUIS.

Other Attributes (Rating 4.2): Placement assistance is provided by a separate committee involving all the three institutes. The placements are conducted at IIM Calcutta campus

The overall rating for this tri-institute program is 4.70

4.  Certificate program in Predictive Business Analytics – BRIDGE School of Management

• Headquarter City: Gurgaon
• Cities of Operation: Gurgaon, Noida, Bangalore
• Year of inception: 2013
• Duration of Program: The executive program duration is 51 weeks. The fresher program duration is 49 weeks
• Mode of Delivery: Classroom & Online mode

Bridge School of Management is a flagship Business School launched via a joint venture between HT Media Ltd. & Apollo Global, Inc. (USA). Bridge School offers programs in various field including Analytics (Certificate program in Predictive Business Analytics).

Course Content (Rating 4.7):  The course is jointly offered with Northwestern University, one of the universities with leading Analytics program. Curriculum has been designed jointly by faculties of both institutes using inputs from industry practitioners in the Analytics domain to make student industry-ready.

Pedagogy (Rating 4.6): The program is delivered in a blended mode – classroom and Northwestern University Virtual learning Environment – Canvas.  Analytics experts from leading organizations bring in industry examples and perspective to the program adding value to the student’s learning curve.

Faculty (Rating 4.4): 50% of the Analytics faculty from Northwestern and Bridge School are either PhD or Research Scholars (pursuing PhD). Also analytic industry experts participate in delivering core lectures to the analytic students.

External Collaborations (Rating 4.4): Bridge School has an exclusive academic collaboration with Northwestern University School of Professional Studies. Also Bridge School is a Registered Educational Provider for Project Management Institute.

Brand Value (Rating 4.6): Backed by India’s media leader HT Media and Global Education group-Apollo Global (USA), BRIDGE School leverages best-in-class knowledge, expertise and technology for an innovative learning environment and industry relevant programs.

Other Attributes (Rating 4.5): Bridge’s career management services team networks with the industry, academia and the students to lead the entire placement process. The institute hosts Hackathons to train their analytics professionals

The overall rating for Bridge School of Management is 4.53

5.  Executive Program in Business Analytics – MISB Bocconi and Jigsaw Academy

• Headquarter City: Mumbai
• Cities of Operation: Powai, Mumbai
• Year of inception: 2014
• Duration of Program: 10 months
• Mode of Delivery: Classroom and Online

Jigsaw Academy was founded in 2011 by Gaurav Vohra and Sarita Digumarti to provide quality training in the field of analytics and Big Data. Executive Program in Business Analytics is their flagship course.

Course Content (Rating 4.4): The course is a healthy mix of Analytics and Big data. It focuses on live proprietary case studies in Big Data and Analytics to give hand-on experience to students.

Pedagogy (Rating 4.5): The pedagogy adopted is to strike a balance between work and study with a blend of online and offline classes.

Faculty (Rating 4.6): This certification program includes distinguished faculty from SDA Bocconi, Milan and industry experts apart from in-house faculties

External Collaborations (Rating 4.6): Jigsaw has partnered with IIMB for Big Data analytics course training and content development. Also it offers content for all analytics electives taught at SOIL in addition to teaching for the same.

Brand Value (Rating 4.4): Jigsaw has become a preferred choice of students, universities and companies for their data science training requirements. And its alumni base of over 40,000, students worldwide speaks about its brand value in the education industry.

Other Attributes (Rating 4.4): Jigsaw provides complete placement assistance and also has virtual labs and LMS facility for its students.

The overall rating for Jigsaw Academy is 4.48

6.  Post Graduate Program in Business Analytics – Praxis Business School

• Headquarter City: Kolkata
• Cities of Operation: Kolkata and Bangalore
• Year of inception: 2007
• Duration of Program: 9 months
• Mode of Delivery: Classroom

Praxis Business School was early to recognize the need for trained analytics resources and introduced the first one-year full-time analytics program in the country in 2011, their flagship course being PGP in Business Analytics.

Course Content (Rating 4.6): The Course 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. The program is co-created and co-delivered with Knowledge Support from PwC and ICICI Bank.

Pedagogy (Rating 4.5): Praxis adopts a pedagogy which his practical in nature. Students during the course are exposed to a set of near real world projects. Faculty use data available from Kaggle competitions to create assignments for students and their solutions are benchmarked against global leaderboards.

Faculty (Rating 4.5): 65% of the faculty members teaching analytics subjects are associated with Analytics organizations . Also guest faculty from Praxis knowledge partners, namely ICICI Bank and PwC are part of the teaching process.

External Collaborations (Rating 4.3): Praxis has quite a few external collaborations 9PWC, ICICI Bank, Abzooba Inc, Ericsson Global Services, IBM Watson Labs, Modelytics) with industry professional to deliver certain special analytics classes during the course.

Brand Value (Rating 4.2): Praxis Business School has been the pioneer in bringing in full time education program in the field of analytics. And the program has received overwhelming response from the students and the industry. It initiation has now been followed by several institutes launching program in analytics.

Other Attributes (Rating 4.5): Praxis has a formal placement process to generate quality opportunities for internships followed by final placements.

The overall rating for Praxis Business School is 4.43

7.  Post Graduate Program in Data Science, Business Analytics and Big Data  (PGP-DS-BA-BigData) – Aegis School of Business, Data Science & Telecommunication

• Headquarter City: Mumbai
• Cities of Operation: Mumbai, Pune
• Year of inception: 2002
• Duration of Program: 11 months, 9 months of training (3 terms each of 3 months) + 2 months of Internships
• Mode of Delivery: Classroom, Online, Hybrid Model

Aegis School Of Business, Data Science & Telecommunication offers various programs in 25 countries to top executives from top IT/Telecom firms. In 2015 Aegis joined hands with IBM to offer high end courses in the field of Data Science, Business Analytics, Big Data, Cloud Computing & Mobility. Their flagship program being PGP-DS-BA-BigData

Course Content (Rating 4.2): Aegis’s analytics program in association with IBM is designed with the help of leading Data Scientists to meet the Data Scientist’s skills and competencies framework. A wide range of core and elective courses are offered to provide freedom to participants to design the program suiting to their and industry needs.

Pedagogy (Rating 4.5): Aegis focuses on making its students industry-ready and this is reflective in their pedagogy. The institute brings together the current software content, real-world industry experiences and hands on exposure to give the participants a practical exposure in the field of analytics.

Faculty (Rating 4.3): This program is delivered by Data Scientist engaged in real-life Data Science and Big Data Analytics projects from around the world with 45% of faculties having a PhD.

External Collaborations (Rating 4.5): Aegis has collaborated with IBM to offer high end courses in the field of Data Science, Business Analytics, Big Data, Cloud Computing and Mobility. MTNL, a leading Govt. of Indian telecom service provider, is Aegis’ Infrastructure partner in Mumbai.

Brand Value (Rating 4.3): The focus of Aegis is on technology and analytics is a perfect extension to it. Aegis offers various programs in 25 countries to top executives speaking high of its brand value.

Other Attributes (Rating 4.7): Career Management Center (CMC) at Aegis facilitates all students’ paid internship and final placements. Also Aegis and IBM have set up an IBM Business Analytics and IBM Cloud Computing Lab to help students and faculty members enhance their analytic skills.

The overall rating for Aegis School of Business, Data Science & Telecommunication is 4.42

8.  Certificate Program in Business Analytics – Narsee Monjee Institute of Management Studies (NMIMS), Bangalore

• Headquarter City: Mumbai
• Cities of Operation: Bangalore
• Year of inception: 2009
• Duration of Program: 12 months
• Mode of Delivery: Classroom

Incepted in 2009, NMIMS Bangalore, is active in the area of Executive education and runs General Management and Analytics program (Certificate Program in Business Analytics) focused on working professionals.

Course Content (Rating 4.2): The course content aims at preparing working executives for a career in Analytics by training them on basic, advanced and application focused courses. The curriculum design and program structure is prepared in consultation with Analytic Board of Governors,a body consisting of eminent professionals from industry.

Pedagogy (Rating 4.4): The courses are delivered through lectures, case discussion, lab sessions, assignments, group tasks and projects. The participants are evaluated through home assignments, projects and exams.

Faculty (Rating 4.5): Faculty for the program consists of permanent and visiting faculty members with 60% having PhD. Visiting faculty members are Analytics professionals from various organizations.

External Collaborations (Rating 4.5): NMIMS Bangalore has collaboration with SAS Institute for providing SAS tools and conducting Workshops in various areas of Analytics.

Brand Value (Rating 4.6): Eduniversal has ranked NMIMS Bengaluru as 14th in General Management in Central Asia, which is a testimony to the continuous progress that NMIMS Bangalore has made in a short span of time. NHRD also ranked NMIMS Bengaluru amongst the top 5 emerging business schools for 2015.

Other Attributes (Rating 3.9): The institute has a full-fledged placement department consisting of a placement director and 5 staff members to assist students.

The overall rating for NMIMS Bangalore is 4.35

9. PG Diploma Program in Data Analytics –  IIIT Bangalore & UpGrad

• Headquarter City: Mumbai (UpGrad), Bangalore (IIIT-B)
• Cities of Operation: Online hence Global (UpGrad), Bangalore (IIIT-B)
• Year of inception: 2015 (UpGrad), 1999 (IIIT-B)
• Duration of Program: 11 months
• Mode of Delivery: Online

UpGrad, founded by media stalwart Ronnie Screwvala, is an online higher education platform providing industry relevant programs. The International Institute of Information Technology, Bangalore focuses on education and research in IT.

Course Content (Rating 4.0): UpGrad and IIIT-Bangalore have collaborated to develop this online 11-month Program in Data Analytics. The program offers the right blend of statistics, technical and business knowledge to ensure that participants learn exactly what the employers need.

Pedagogy (Rating 4.1): The teaching style adopted is case-led, wherein faculty and industry experts use a series of industry relevant examples to teach complex analytics concepts.

Faculty (Rating 4.2): IIIT-Bangalore and UpGrad faculty are majorly from the analytics domain with 67% having a Phd. Also industry experts are involved in designing and executing the program as they bring in industry perspective.

External Collaborations (Rating 4.0): The program has established flagship partnerships with Analytics Leaders like Uber, Genpact, and Gramener. Further, the program has been built in collaboration with 30+ Analytics industry experts from leading corporations.

Brand Value (Rating 4.2): UpGrad’s brand value is reflective in its partnership with 50+ companies like Star TV, Disney, Google, Microsoft, to develop program content and provide mentorship to students. IIIT-B, with its model of education, and industry interaction, has grown in stature over time to become an institution of considerable repute in academic as well as corporate circles.

Other Attributes (Rating 4.0): UpGrad and IIIT-Bangalore will be providing placement assistance. A Virtual Cluster for the Big Data course is set up for participants.

The overall rating for UpGrad is 4.08

10. Business Intelligence and Big Data – IMT  Ghaziabad

• Headquarter City: Ghaziabad
• Cities of Operation: Ghaziabad
• Year of inception: 1980
• Duration of Program: 11 weeks
• Mode of Delivery: Classroom

IMT Ghaziabad is a fully autonomous university and offers several post graduate, doctorate and executive education programmes in management.

Course Content (Rating 3.8): The course gives you a blend of industry knowledge, concepts and experiential learning through collaborative teaching by industry experts.

Pedagogy (Rating 3.9): The pedagogy will be a mix of lectures, experience sharing, real life case discussion, assignments and industry/research based projects.  The course is focused on strategic issues with cases as the primary vehicle for learning.

Faculty (Rating 3.7): Faculties include a mix of in-house and industry exports with 98% of in-house faculties having PhD.

External Collaborations (Rating 4.0):  IMT has many industry associations and international collaborations. IMT has 50+ International collaborations towards various academic modules co-teaching and joint learning.

Brand Value (Rating 4.3): IMT Ghaziabad is an institute that has been there for long and is recognized for the courses its offers and for the quality of students that come out of the institute to build their names in industry.

Other Attributes (Rating 3.9): Students opting for this course are provided with placement support. ICDM, a data management conference is organized by the institute.

The overall rating for IMT Ghaziabad is 3.93

The post Top 10 Analytics Courses in India – Ranking 2016 appeared first on Analytics India Magazine.

A start-up in its early years needs a lot of resources and mentoring in order to be successful. The initial phase builds the strong base on which the future is to be built. And accelerators/incubators are just the right entities who hand-hold in those early shaky moments to make a start-up, a successful company. Analytics is seeing the advent of start-ups in various verticals and hence these accelerators have evolved to mentor and provide guidance to start-ups evolving in one of the fastest growing industry- Analytics.

Analytics India Magazine lists down ‘10 leading Analytics Accelerators/Incubators in India’ for all the budding analytics start-ups.

5 ideas

5 ideas is an accelerator that fuels India’s tech start-ups. To accelerate the performance of the start-ups, 5 ideas provides them with human capital, financial capital and social capital. They bring 30+ years of operating experience and capabilities to support founders in scaling their startups. This accelerator provides investment starting from Rs 25lakh (USD 50K) to Rs 15crore (USD 300K) and if required they could go up to Rs. 25crore (USD 500k) in follow-up rounds usually pre series A.

Capgemini Analytics Accelerator

The Capgemini Analytics Accelerator is an 8-week program delivering immediate analytics value to the start-ups. It is supported by a vision and roadmap for driving long term value from the business. This accelerator  works with organizations to develop a prioritized list of analytical opportunities and their benefits, creates working analytical proof of concepts that are tailored to their needs. And then with a clear vision model and future roadmap, the accelerator provides a clear operating model and plan that will help drive value from analytics.

IIIT H – Foundation Accelerator

IIIT H Foundation has an accelerator program named Avishkar. Avishkar is aimed towards start-ups in the areas of AI, IA, and AR/VR. They help the start-ups with seed money of 10 to 20 lakhs INR in the form of convertible notes and a 6 month customized program to suit their needs. This accelerator provides support in terms of connections with potential customers, investors and industry for start-ups to grow and prosper their businesses.

Jaarvis Accelerator

Jaarvis Accelerator focuses on early stage technology based startups and helps them rapidly build a sustainable business. Their objective is to ensure that the entrepreneurial idea is converted into a fundable proposition in the shortest possible period of time. Jaarvis offers a four-month residential accelerator program which is developed by seasoned entrepreneurs for help startups develop, build and grow their business. Jaarvis guides the start-ups and provides concrete plans for development, marketing and customer acquisition.

Microsoft Accelerator

Microsoft Accelerator is a global initiative empowering entrepreneurs around the world. They work with later-stage startups and provide them the necessary tools, resources, connections, knowledge and expertise that they require to become successful. Microsoft Accelerator offers a 4-6-month tailor-made program for later-stage startups looking to go beyond the development of their product by scaling their business. They provide the support and resources necessary to build a sustainable company and to achieve scaling up of every aspect of the business.

Pitney Bowes India Accelerator

Pitney Bowes India Accelerator offers a six month program starting in April and October every year to the  start-ups in the areas of analytics, big data analytics, M2M platform and services, Data Integration & Master Data Management etc. This accelerator provides all the infrastructure needed by start-ups from office space to cloud credits to testing devices. They also offer technical & business mentorship, product management, branding, marketing, and legal support.

Societe Generale Global Solution Center

SG GSC’s Catalyst program has two aspects – guidance & mentorship from subject matter experts from SG  GSC and the ability for startups to test, enhance and scale their product or existing solution against real business scenarios using the in-house infrastructure. In April 2016, the CATALYST accelerator program was launched to leverage the rich ecosystem of Indian startups. Out of thirty applications, eight startups based out of Bengaluru, Chennai and Mumbai were handpicked by SG GSC, to co-create some disruptive solutions addressing real life business challenges.

The Hive

The Hive is a vehicle to fund and launch innovation in the area of data analytics. It supports entrepreneurs  and start-ups that are seeking capital, qualified guidance and high level mentorship. They function as equity partners rather than financial investors and participate significantly in the evolution of the enterprise. The Hive India also hosts periodic talks and panel discussions to share knowledge and bring together experts and visionaries from academia and the industry.

Z Nation Lab Accelerator

Z Nation Lab Accelerator program enables startups in scaling up globally with the focus on India – US Corridor. This accelerator not only invests seed capital but also provides strategic and technological support to the start-ups to help them accelerate in the right direction and take them to the next level. They provide startups with a world class ecosystem at their collaborative work space in Mumbai and affiliate centers in Pune, Udaipur, Jaipur, Kolkata, Chandigarh and Indore. Also partnerships and connects help the Indian start-ups in accelerating their growth.

Zone Start-ups India

Zone Startups India is a technology accelerator. It is a collaboration between BSE Institute (a subsidiary of the Bombay Stock Exchange) and Ryerson University’s Digital Media Zone (incubator). Zone Startups India offers State of the art work space, Mentorship – Functional, Business Experts & Industry Panel, Market Development & Business Development Support, Networking & Branding opportunities, Funding Opportunity, Access to North American market and Peer-to-Peer mentoring.

The post 10 leading Analytics Accelerators/Incubators in India appeared first on Analytics India Magazine.

And here we are with yet another independent study on the job scenario of analytics and the related fields. The Jobs study 2016 is a cumulative effort of the research done by Analytics India Magazine and Jigsaw Academy.

Be it the big data expertise, data scientist or any other data analytics role, with the innumerable companies starting up in the analytics space at a fast pace, there has been a definite surge in the job opportunities.

This study brings to you recruitment trends, educational qualifications, experience and various other interesting facts on the table.

Read Analytics India Jobs Study 2013

Read Analytics India Jobs Study 2012

Top Trends in Analytics Jobs

• The number of analytics jobs rose by 29% from June 2014 to June 2015 compared to 120% increase from June 2015 to June 2016.
• Overall, there has been a 53% increase in the number of new job postings in analytics, this year compared to a year earlier.

Analytics Jobs by Cities

• In terms of cities, Bengaluru accounts for around 27% of analytics jobs, standing out to be analytics capital, followed by Delhi/NCR at 23% and 15% from Mumbai. These 3 cities together account for almost 65% of total analytic jobs.
• Hyderabad and Chennai contribute 9% each.

Analytics Jobs by Industry

• Analytics jobs are concentrated in only few sectors. This is suggestive by the fact that 81% of analytics job opportunities exist in 4 sectors viz. Banking and Financial Services, Ecommerce, Pharma/Healthcare, Energy & Utilities.
• A big chunk, almost 42 percent of analytics job opportunity comes from Banking and Financial Services industry followed by the ecommerce sector and Pharma/Healthcare at 14% and 13% respectively
• The contribution of Retail/ CPG to new job openings this year is just 5% of all analytics jobs.  

Education requirement by Analytics jobs

• Almost 44% of analytics job openings are looking for a B.E./ B.tech. degree in the incumbent while 26% analytics job openings are looking for a postgraduate degree.
• So, overall, 80% of all employers are looking to hire analytics professionals with either an engineering degree or a postgraduate degree.

Experience requirement by Analytics Jobs

• Around 62% of analytics requirements are looking for candidates with less than 5 years experience whereas 18% analytics jobs are looking for freshers.
• 31% analytics job openings are for professionals with 5-10 years’ experience to serve the middle management

Here’s the complete Study

Download the study here:

The post Analytics India Jobs Study 2016: by AIM & Jigsaw Academy appeared first on Analytics India Magazine.

Humor cannot be detached from Business (or even technology for that matter), and business cartoons are the forefront of keeping humor alive. A great cartoon nails the issue at its head with those impactful 1-2 liners and helps bring the funny side up. The same is true for data science.

Yet, cartoonists are not the most celebrated lot. So, we decided to dig into the leading cartoonists from around the world, who are drawing get stuff on analytics for years. Here’s the list of 10 of those.

Cyanide & Happiness

A webcomic written and illustrated by Rob DenBleyker, Kris Wilson, Dave McElfatrick published on their website explosm.net. It was created on December 9, 2004, and started running daily on January 26, 2005.

The comic’s authors attribute its success to its often controversial nature, and the series is noted for its dark humor and sometimes surrealistic approach.

David Fletcher

David Fletcher (born 1952) is a New Zealand cartoonist. Fletcher was born in the UK but emigrated to New Zealand. He produces “The Politician”, a daily cartoon strip that appears in The Dominion Post as well as various publications around the world. He was employed as an illustrator and cartoonist by New Zealand’s largest daily newspaper the New Zealand Herald for three years, but for the last twenty years he has been working from home as a comic strip artist.

Apart from the “Politician” strip he also produces several weekly strips, “TV Kids” for the TV Guide and since 2007, Crumb, a strip created especially for mobile phones published by ROK Comics, which centres on the antics of an ever-hungry blackbird.

Jon Carter

Jon landed my first regular freelance job as cartoonist for a local weekly newspaper at the age of 18 and has been working neurotically on these ever since. The comic strip he has worked on the most is his panel “Cartertoons” (formerly “Funny Files”), which he began writing and drawing in the summer of 1989. It has appeared in a variety of magazines, newspapers, and web sites.

Cartooning is great because it’s such a pure outlet for aggression. If you come home at the end of a very bad day you can make a violent drawing and somehow things are okay again, even if only in small measure.

Marion van de Wiel

Born in 1963 in Goirle, North Brabant. She loves drawing above everything else, especially in a comic-like cartoon style. During her high school years she was always drawing her classmates.

A training as a fashion artist at the School of Art in Arnhem didn’t change that in any way. She became an illustrator and caricaturist. Hugo and she have been full-time caricaturists since 1992.

Mark Anderson

Cartoonist Mark Anderson lives in the Chicago area with his wife, their children, two cats, a dog and several dust bunnies. He had always loved cartoons, and had contributed to his high school and college newspapers. The creative outlet was exactly what he was looking for, and he began submitting cartoons to magazines. Working early mornings, lunch hours, and late into the night, he continued drawing, submitting, and building his website, Andertoons.com. Soon, Mark quit his day job to become a stay-at-home dad and draw cartoons full time.

Mark now runs Andertoons from his studio, where he sits at a drafting table. He lives in the Chicago area with his wife, son, daughter, dog, cats, and one well-used coffee table.

Mark Hill

A Denver area cartoonist and humorous illustrator, Mark began drawing when he was old enough to hold a crayon without also eating it. About 15 years later at the University of Illinois student newspaper, he was a cartoonist, columnist and editor. After college, Mark was a political cartoonist in the Chicago area…and then worked under contract for King Features Syndicate and Tribune Media, creating some now obscure comic strips.

Mark’s work has been published in over 100 magazines and newspapers, (including Time, Forbes and the Wall Street Journal), and has been featured on NBC’s Today Show.

Rob Cottingham

For 25 years, Rob Cottingham has helped senior strategic levels of government, business and advocacy organizations to engage with audiences in both the digital and offline worlds.

Pioneering in the online arena comes naturally to Rob, who launched his first web site in 1995. He built one of the earliest party leadership candidate web sites in Canada, launched the country’s first online political game, and oversaw the creation of an ambitious anti-tobacco website targeted to youth years before similar efforts became ubiquitous. He launched the ground-breaking Confeederation.ca site during the 2005-06 federal election, garnering national media attention for a service that aggregated blog posts from candidates across the country.

Rob maintains a long-running blog on technology and public affairs at RobCottingham.ca. He draws the popular Noise to Signal web cartoon, has been a regular freelance contributor to CBC Radio and performs in a variety of venues as a standup comic.

Scott Adams

Scott Adams does not need introduction, as the creator of famous Dilbert comic strip. His Dilbert series came to national prominence through the downsizing period in 1990s America and was then distributed worldwide. Adams worked in various roles at big businesses before he became a full-time cartoonist in 1995. He writes in a satirical, often sarcastic way about the social and mental landscape of white-collar workers in modern corporations and other large enterprises.

Ted Goff

Ted Goff has been drawing cartoons forever, and selling them since 1980. His cartoons have appeared in hundreds of publications around the world, and have been used in ads, presentations, T-shirts, newsletters, textbooks and posters.

Tom Fishburne

Tom started cartooning on the backs of business cases as a student at Harvard Business School. While in various marketing roles at General Mills, Nestle, Method and HotelTonight, Tom parodied the world of marketing in a weekly cartoon. His cartoons have grown by word of mouth to reach 100,000 business readers each week and have been featured by the Wall Street Journal, Fast Company, Forbes, and the New York Times.

Tom soon realized that cartoons are a remarkable form of shareable media. He launched Marketoonist to help large and small businesses such as Google, GE, Kronos, Motista, Rocketfuel, reach their audiences with cartoons.

The post 10 Humorous Cartoonists to follow if you are a Data Scientist appeared first on Analytics India Magazine.

Last year we took this initiative to identify Data Scientists in the country that are helping to push the industry forward. It is a grueling exercise of sorts; we invite nominations from various organizations, irrespective of size and nature of work. We also get in touch with data scientists that we know personally who might not necessarily be associated with an organization.

Then an expert team of leaders, past data scientists and evangelists are asked of their opinions on those nominations, on basis of parameters like pedigree, patents, competitions participated, any pioneering work etc. Yet, at the core of it, we look for that one significant consideration- what is the contribution to the industry and ecosystem in the country.

So, here we are with this year’s list. We have purposely kept the list different from last year’s (given the size of analytics industry in India). We hope the list brings you some inspiration and motivation to find bigger purpose in life.

Abhimanyu Dasgupta

Abhimanyu specializes in the design, development and deployment of data science algorithms in the financial services sector. An honors graduate in Statistics from the Indian Statistical Institute and on the cusp of being a designated Actuary with the Casualty Actuarial Society of USA.

He leads the FSI practice of Advanced Analytics professionals at Deloitte Consulting and has grown the practice from its nascence in 2006 when he’d joined as a rookie. His deep expertise in both analytics and actuarial science uniquely positions him as a key thought leader in the insurance analytics domain in US and India. As a young data scientist, he was instrumental in helping develop the first ever claims predictive model in US. This pioneering approach is a pending patent in his name. He is the only data scientist to be honored with Deloitte’s prestigious RMP award, an award that recognizes the top 1% consultants.

Abhimanyu is an active contributor in external forums including events organized by the IAI and ICADABAI where he has spoken on the advent of advanced analytics and its applications in various fields including Underwriting, Pricing and Claims Management. Among other roles, he also serves on the Advisory Committee on Analytics of IAI today.

Dinkar Sathe

Dinkar Sathe is Advisor, Analytical Consultant in SAS. He has around 26 years of diversified experience in quantitative analysis, problem-solving and research using statistical techniques. While studying at Purdue University he was tasked with optimizing the input levels required to create cost effective medicine tablets. After graduating with a MS Statistics degree, he started working for a leading Insurance company where he designed and developed a provider profiling system to identify potentially fraudulent or abusive patterns of medical practices. He was also instrumental in developing predictive models in the analysis of historical loss experience of automobile risks in order to identify risk characteristics that are correlated with losses. He worked in the Insurance industry for six years after which he worked for a leading credit card company in the USA where he became proficient in the credit card business.

He has gained a rich Marketing Analytics experience during consulting projects executed for a number of major corporations across the globe. Customer satisfaction has always been his foremost focus and aim. He has provided strategic consulting support to credit card program managers in areas of reporting, marketing plan fulfillment, measurement of effectiveness of past marketing efforts and in the identification of customer profiles for future promotional marketing.

Manish Gupta

Manish is an advanced analytics professional with experience in building & leading data science & analytics teams for developing competencies in customer analytics, real-time recommendation system, bigdata and advanced analytics solutions across various industries. Manish holds a PhD from IIT Delhi in the area of Machine Learning with more than 15 research publications in international journals and conferences with 1 US Patent which have more than 130 citations.

He recently joined American Express as Director, Global Credit Data Science and Machine Learning Research to carry out business specific data science and machine learning research and to establish machine learning best practice for business. In his most recent role, Manish served as Senior Vice President, Analytics at InfoEdge, parent company of Naukri, JeevanSathi, 99Acres, Shiksha etc.

He has also previously worked with Global Decision Management, Citibank as analytic lead. He has also work as Head (R&D) at Innovation Labs@24/7 Customer where he developed patented technologies for chat categorization and web acquisition engines. He has served country as Scientist at DRDO, a premier defense research organization in India. He received several awards including Scientist of the Year, Technology Award for his contribution to develop state of the analytics solutions for armed forces.

Nishant Chandra

Dr. Nishant Chandra leads the AIG Science R&D group in India where he develops natural language, text mining, and machine learning models for the insurance industry. He also directs the development of natural language platform and applications such as privilege text classification, contextual summarization, and conversational sentiment abstraction. Prior to AIG, Dr. Chandra has driven innovation in BFSI, e-commerce, R&D, and mobile telecom industries in USA and India. He developed and implemented natural language predictive models that are deployed in top banks and telecom companies resulting in $100M impacts across value chain. For his contributions, Dr. Chandra has received the prestigious Barrier fellowship and several other awards and recognition.

The Department of Homeland Security, United States Government has classified Dr. Chandra as an outstanding researcher. He was the conference session chair for GSPx conference at San Jose, California. He has been a reviewer for IEEE transactions, served in the editorial board of Human Language Technology conference, and speaker at several international conferences. He also has five assigned patents and several publications. Dr. Chandra is a passionate puzzler who invents puzzles and has represented India in the World Puzzle Championship at Stamford, Connecticut. He received his Ph.D. in Electrical and Computer Engineering from Mississippi State University.

Pradeep Gulipalli

Pradeep co-founded Tiger Analytics – an advanced analytics firm that builds data science solutions for businesses. He leads an interdisciplinary team of computer scientists, economists, statisticians, and business consultants. His team has done some pioneering work to bring data science into emerging business areas such as hyper-personalization, real-time decisions, dynamic learning, IoT and sensor networks etc.

Pradeep’s team has built several industry leading data science solutions. The early warning systems for railways they built are now the North American industry standard. Their algorithms that predict emerging global technology trends guide M&A decisions. Their first of its kind interactive algorithm framework involving Dynamic pricing, Optimization, NLP, and Game theory helps place hundreds of millions of digital ads across devices every day.

Pradeep has practiced data science for more than a decade architecting solutions for several Fortune 100 enterprises. In addition, his work around mathematical modeling of cities – socio-economic activity, transportation networks, land use, air quality etc. – has won him international recognition for application of data science to public policy. He has published in leading journals, co-guided research theses, and collaborates actively with universities. Pradeep holds a B.Tech from IIT Madras and an MS from The University of Texas at Austin.

Sandhya Kuruganti

Sandhya Kuruganti is a senior analytics leader in the Indian banking industry with more than 20 years of experience. She holds a Master’s degree in Economics from the Delhi School of Economics, India and a Doctorate in Economics from Rutgers University, USA. She has been one of the evangelists who has pioneered the usage of decision sciences for banks in India, as early as 16 years ago, when the analytics practice in India was still nascent. Sandhya’s thought leadership in developing and implementing advanced analytical strategies for customer life cycle management has been a key success factor for corporates that have leveraged her expertise in successfully embedding analytics in their business practices. As Senior Vice President at Citibank, she set up, nurtured, and led the Business Analytics function for Citibank India and the Regional Analytics Centre of Excellence for Asia Pacific.

As a management consultant, she is currently on a mission to build analytics culture at Public Sector Banks, and educate the budding data science community in India. She also conducts applied analytics training programs and has co-authored a book titled “Business Analytics: Applications to Consumer Marketing – Sandhya Kuruganti and Hindol Basu”, published by McGraw Hill India in March 2015.

Sarita Digumarti

Sarita Digumarti is the COO & Co-founder of Jigsaw Academy, a premier analytics training institute. A specialist in Analytics, Consulting, and Outsourced Services and Management, Sarita is all about numbers. Holding an MBA in Finance followed by an MA in Quantitative Economics from Tufts University, Sarita has spent over 15 years working as a data scientist helping clients across diverse sectors including retail, healthcare and financial services, both in India and the US.

Sarita now focuses on both education and new frontiers in the data science space. She is an expert educator who trains students at Jigsaw Academy, the participants of the Executive Program in Business Analytics (EPBA) at MISB Bocconi, Mumbai, and the numerous corporate employees whose companies have partnered with Jigsaw Academy. In recognition of her professional excellence, Sarita has been presented with the Global Achiever’s Award for Educational Leadership by the Economic Development Forum.

Sudalai Rajkumar

Sudalai Rajkumar (aka SRK) is the Lead Data Scientist at Freshdesk, responsible for developing scalable machine learning / data science systems for the organization. Prior to this, he was part of the R&D team in Global Analytics doing machine learning research and then moved to Tiger Analytics, where he has solved a lot of interesting data science problems for various customers across the globe in multiple domains including finance, e-commerce, online advertising, health care, transportation, retail. He has worked on varied problems ranging from doing simple analysis on structured data to natural language processing and voice analytics in his career.

Apart from his day job, he used to take part in various data science competitions to enhance his knowledge and has won several of them. He is one of the top 25 data scientists in the world in Kaggle. He is one of the top solver in CrowdAnalytix platform as well. He has published few papers in International conferences and also has a patent filed under his name.

SRK received his Bachelors degree from PSG college of Technology and got his executive certification in analytics from IIM Bangalore.

Tuhin Chattopadhyay

Tuhin Chattopadhyay is an eminent business analytics and data science thought leader with a progressive and proven track record of twelve years of experience in academia and industry.

Tuhin has a profound knowledge of the marketing domain besides being an analytics expert. Academically, Tuhin is an ISB trained business analytics professional and IIM Ahmedabad educated management expert. A double masters in science (M.Sc.) and business administration (M.B.A.), he holds a Ph.D. in management (marketing analytics). Technically, he is a SAS certified predictive modeller and certified for IBM business analytics software. Prior to joining the data science industry, Tuhin was a renowned professor of business analytics and taught at a number of reputed B-Schools for a decade.

As an academician, Tuhin pioneered the introduction of analytics based subjects into the curriculum of multiple B-Schools. Tuhin is a prolific researcher and has authored research-based books. He has more than thirty research publications in refereed journals and conference proceedings. To train the corporates as well as faculty members of B-Schools, he regularly conducts workshops on business analytics. He is the Editor-in-Chief of International Journal of Business Analytics and Intelligence and is the editorial board member of a number of leading journals.

Viral Shah

Viral Shah is a co-creator of Julia and CEO of Julia Computing. Julia is a modern and easy to use high-performance programming language for data science. It provides the performance of C++ while being as easy as Python, R, Matlab, and SAS. While it is an open source project with a diverse community of almost 500 contributors around the world, research on Julia is anchored at MIT. Today, the Julia community counts over 500 contributors and over 1,100 community contributed packages. Julia is being used by a number of universities for teaching and research, and by businesses in areas as diverse as engineering, finance, manufacturing, healthcare and retail.

Apart from Julia, Viral is also co-creator of Circuitscape, an open source program for ecological conservation. Prior to that, he worked in the Aadhaar project, leading the design of Aadhaar-based eKYC, subsidies and payment systems. These experiences are captured in Rebooting India, a book he co-authored with Nandan Nilekani. Viral has a Ph.D. in Computer Science from the University of California at Santa Barbara.

The post Top 10 Data Scientists in India – 2016 appeared first on Analytics India Magazine.

Blockchain is the most trending technological term today and is forecasted to disrupt various industries in coming future. The buzz is building up in India as well. Just last week, Mahindra and IBM joined hands to develop Blockchain Solution for Supply Chain Finance. Also, mid of this year, ICICI bank adopted Blockchain in a push for digitalizing banking.
Yet, in the startup space, the activity seems to be relatively muted in India when compared globally. One reason can be that the technology is still in its early days and yet to mature. We presented a tutorial on Blockchain earlier this year.

So, we decided to compile a list of some interesting startups in this space in India. Here they are:

Auxesis

Auxesis is a technical innovation company with advanced competency in FinTech and Blockchain Technology. Working for the development of new innovative technological solutions by providing a balance between technology and economic sustainability for the start-ups. Working for businesses to help them focus on their best what they do without the worry of their technical development and maintenance. Currently, company is working with IIT Bombay Entrepreneurship cell & European Incubator (SEED) start-ups projects from idea until there transformation Phase.

Auxesis is constantly experimenting in collaboration with Blockchain Lab, London to find better use cases for other industries. Their current initiative includes Banking, Remittance, Insurance, Event and Ticketing industry while Pharmaceuticals, Luxury goods, Gambling are under consideration.

Coinsecure

Coinsecure was built with the motto of “Connecting India to Bitcoin”. Today we focus on “Building an entire eco – system for Bitcoin and Blockchain in India” and we have been able to accomplish this with the array of products and services that we offer. Apart from being the largest and best Bitcoin exchange, Coinsecure offers a Bitcoin wallet, A Blockchain solution (the Block explorer), merchant gateway, comprehensive API’s and a testnet service.

Coinsecure intends to be the one stop shop for all Bitcoin and Blockchain related needs and accomplishes them through several partnerships across the globe. Coinsecure is India’s first and only Bitcoin company to have secured the highest funding round with 1.2 Mill USD and have been at the fore front of developments which are user friendly and secure!

EzyRemit

EzyRemit is an innovative FinTech and Blockchain platform and solutions company which is focused on changing the remittance market. Working at the intersection of technology, payments and banking industry from many years, we saw the many redundancies in the system and the need for change.

A glimpse of the solution came with the appearance of Bitcoin and later Ethereum, offering different blockchain technologies we could work with to find our solutions. By pairing experience from the Payment, business process management & software application development, founders use blockchain technology to empower people around the world with free access to a global financial system & faster transaction.

Hashcove

HashCove is a Blockchain Products Company that helps evaluate, validate, design and create end to end solutions in Blockchain.

HashCove is the Blockchain arm of uTrade Solutions. uTrade is a FinTech company providing multi-asset trading platform,low latency algos engine, risk management and Blockchain Solutions.

Their products are widely used by global financial institutions including Brokers, Algo Firms, Forex Traders, Stock Exchanges and their end customers.

KrypC

KrypC is a FinTech solution and service provider focusing on bringing innovative solutions in the field of Blockchain & Digital Currency. Currently the team is developing and deploying industry use cases on the blockchain framework which would help organizations to integrate current processes to the DLT network.

The goal of KrypC’s technology services is to help businesses understand the power and utility of Distributed Ledger Technology (DLT), assess the potential areas of application, provide technical framework & design and effective implementation of the technology solution.

With vast experience in Digital Signature Certificates, Security and Cryptography, KrypC has multiple intellectual property in the areas of Mobile Wallet, Digital Currency, Security and Payments solution.

MindDeft Technologies

MindDeft was founded with the thought of making difference with IT services and providing the quality services to customers. Since our inception, the goal is to deliver solutions to complex problems that really makes difference to the customers.

Apart from traditional technology stack, the team is very much open for adopting the new trends and technologies that is really making difference to solutions they are providing. Blockchain is one of the trend that they love, and they are in the progress of taking expertise of various Blockchain tools for example, Ethereum and HyperLedger. They have been doing extensive research for Blockchain and delivered the proof of concepts for various domains on how to implement the smart contracts with Blockchain tools.

Trestor

Trestor is an India’s first blockchain startup, which has created “Trest” a secure, digital, store of value. Using the power of Trestor’s blockchain and their decentralised network of trustless nodes ‘Trests’ can be transferred directly from person to person anywhere across the globe. There is zero transfer fees, Trests are transferred within seconds, accounts can never be frozen and there are no paperwork or limits!

Trestor network is designed keeping under banked in mind. Most think that poor just need a bank account and a payment card and once they get it, they will happily switch from cash to a centralized, freezable, chargeable, hackable payment system that the rest of us use. Maybe we should re-think this assumption. “Maybe what unbanked people really need is digital equivalent of cash instead of our banks and our way of banking”.

The post 7 Startups in India working on Blockchain Technology appeared first on Analytics India Magazine.

Analytics is by far the biggest influencer in IT industry – a phenomena evident by the rise of next-gen technology Cognitive Computing, Blockchain and Virtual Reality which has at its core a valuable asset “data”, and analytics quite irrefutably is the essence of it. After all, it’s the whole mix of technology, data and analytics that is revolutionizing the way we work.

In keeping with our annual tradition, we present the much-researched and a carefully thought-out study carried out in association with AnalytixLab, a premier analytics training institute in India. We invited nominations from various organization to identify the analytics trends that will shape the future of our industry in India for 2017. After a lot of fact-finding from the industry insiders, we bring to you the top 10 analytic trends that have had the highest impact on the analytics industry today and potentially going forward in 2017.

This year, we received an astounding 36 submissions. A lot of new trends have hit the space, a few faded away and there are others that endured and will definitely stay. This study, now in its third year presents neatly sorted out viewpoint of the industry leaders and veterans on Top 10 Analytics Trends in India to watch out for in 2017.

Artificial intelligence becomes pervasive in business

The Cognitive age is clearly upon us— it is indicated by the fact that more than $1 billion in venture capital funding went into cognitive science in 2014 and 2015, and further supported by fact that various analysts project the overall market revenue for cognitive sciences to exceed $60 billion by 2025. As the cognitive era evolves, it will likely become another key decision making tool in the toolbox of CXOs; vital for the right applications but not entirely replacing traditional business & advanced analytics capabilities that complement the human thought process. In a nutshell, the man-machine dichotomy is not “either-or”, it is unequivocally “both-and”.

Debashish Banerjee, Managing Director at Deloitte Consulting

There is a lot of hype around “artificial intelligence,” but it will often serve best as an augmentation rather than replacement of human analysis because it’s equally important to keep asking the right questions as it is to provide the answers.

Souma Das, Managing Director, India, Qlik

Analytics of Things continues to be a game changer

Internet of Things and Analytics of Things: The Indian Internet of Things (IoT) market is set to grow to $15 billion by 2020 from the current $5.6 billion. Just about every type of company seemed to have an IoT strategy in 2016. However, today, IoT is more about Data Than It Is Things. The original description of “Internet of Things,” was describing a network of connected physical objects. But in 2016, it was apparent that this initial description didn’t consider the importance of data or cloud computing. So now, IoT isn’t about connecting billions of objects to the Internet, it is really going to be all about the data and the ability of organizations to gain insights out of all of this data. This means that getting value from data goes beyond devices, sensors and machines and includes all data including that produced by server logs, geo location and data from the Internet.

Sunil Jose, Managing Director, Teradata India

The “Internet of Things” is exploding. It is predicted that the number of device connected would reach 50 billion by 2020. Most of these smart devices would be in factories, energy sector, health care systems, home appliances and wearable devices. The vital data so generated would enable us to track health parameters, optimise machine performance, and reduce response time for breakdowns and also save lives.

In order to create real value of IoT/IIoT, the Sensors & Communications node needs to integrate with the Analytics infrastructure, else it will be a simple data collection exercise. The technologies & skills related to IoT protocols, edge analytics & real time sensor analytics will be the key differentiators for its success & adoption in the market.

Vinay Gupta, Head of Analytics at Suzlon

Enabling real-time automated decisioning systems

There is a visible shift across many big data and analytics users to streaming and real time analytics. Businesses particularly digital advertising, ecommerce, logistics & transportation are looking to leverage ream time analytics and are heavily invested in this space. This is also apparent from the elevated adoption levels of Apache Spark Streaming, Apache Storm or Twitter’s Heron.

Srikanth Sundarrajan, Principal Architect at InMobi

Enterprises are increasingly enabling real-time automated decisioning systems whether to streamline operations or mitigate risk. The older rule-based systems are now being replaced by a new generation of systems powered by online machine learning and artificial intelligence – these are self-learning systems that can recalibrate in an automated manner and can be deployed on a large-scale.

Pradeep Gulipalli, Co-founder at Tiger Analytics

Analytics is made invisible, embedded within the system

Analytics works best when it’s a natural part of people’s workflow. In 2017, analytics will become pervasive and the market will expect analytics to enrich every business process. This will often put analytics into the hands of people who’ve never consumed data, like store clerks, call-center workers, and truck drivers.

Deepak Ghodke, Country Manager, Tableau

Technologies that nudge us to drink water, take regular walk breaks, or inform us that our cab has arrived have become commonplace. This is not restricted to consumer facing decisions. In fact, businesses in 2016 are beginning to realize the value of this kind of data and deploy on-demand analytics to drive better decisions. They are capturing and streaming unstructured data, blending it with other data sources, deploying analytical models to unearth insights, and are using rules engines to drive applicable “nudges”.

Mihir Kittur, Co-founder, Ugam

Fintech is growing and so is Fintech Analytics

Going by the events of the last year (2016), Fintech will clearly emerge as the most challenging as well as beneficial. The linkage of various identity proofs to uniquely identify a person and their financial footprint would be the key to the mission to drive out corruption and black money.

Dr Nupur Pavan Bang, Associate Director, Thomas Schmidheiny Centre for Family Enterprise, Indian School of Business

Financial institutions are moving rapidly towards “digitization” and educating their customers to adopt digital channels for day-to-day activities. With eroding revenue streams, intensifying competition, and ever-increasing customers’ expectation financial institutions need to explore new way of doing business. Measuring customer relationship, evaluating the customer journey and recommending right bundle of product & services at the right price in real time through technology enabled digital platform will be the vital enablers to improve customers’ banking experience.

Suman Singh, Chief Analytics Officer, ZAFIN

Rise of Self-Service Analytics

The realization that what delivers impact is not automated MLR or one-size fits all solutions, but context driven customized solutions that leverage business know-how (that probably exists deep within a company) and domain knowledge (of expert consultants with rich industry and applied analytics experience) will dawn on most business leaders in 2017.

Randhir Hebbar, Cofounder at Convergytics

Technological advancement has led to tools for Self Service Business Intelligence or Self Analytics. This approach meets the needs of data producers and consumers alike, adding speed and agility to the process while protecting organizational data and the system overall with a single version of the truth.

Tejinderpal Singh Miglani, CEO, Incedo Inc

There has been a paradigm shift in deriving business value from analytics owing to the exponential growth in the volume, variety and complexity of data. Today’s competitive business environment asks for democratisation of analytics with self-service capabilities to meet the time-to-insight demands.

Self-service work benches, packaged analytics, dashboards, visualization frameworks and collaboration tools for data scientists (built right into the analytics frameworks) are gaining popularity. The spotlight has now shifted from IT-led reporting to business-led self-service analytics. Self-service allowing “regular” users to derive value from large data assets owned by enterprises is the way forward.

Having said that, the specialists will not be redundant. In fact, there will an even greater demand so as to ensure that they manage and provide the entire infrastructure and a strong footing for decision making across the organisation.

Jobin Wilson, Principal R&D Architect-Data Sciences, Flytxt

Democratization and consumerization of analytics

More organizations are “democratizing” Business Intelligence (BI) and analytics to enable a broad range of non-IT users, from the executive level to frontline personnel, to do more on their own with data access and analysis via self-service BI and visual data discovery such as drag-and- drop dashboards.

Anil Chawla, Managing Director, Customer Engagement Solutions, Verint Systems

More data is now available to companies of all sizes. So more easy access to data within a company & sources to find external data will be a trend that I see. Companies can partner each other & leverage each other’s data. A DTH company knows when you move residences & that data can help a Retailer who sells furniture or is in that catchment. I believe that in year 2017 more marketers will leverage each other’s data to build more effective analytics solutions.

Ajay Kelkar, Co- founder of Hansa Cequity

Mobile first Omni channel strategy

With increasing penetration of mobile phones, the number of mobile apps have sky rocketed. Due to the limited space on these mobile phones, consumers are engaging with apps that create value for them. To stay relevant, the apps developers are using app analytics to understand their users’ profile and transaction behaviour to fine tune their product features and offering to increase user experience and engagement. We will continue to see analytics playing a larger role to declutter the space.

Debasmit Mohanty, CEO & Founder, StratLytics

With increased penetration of mobile, companies are taking a Mobile First approach to engage consumers, leading to progress in Mobile Analytics. With the available location and motion sensing capabilities, significant progress was made in data collection in a privacy compliant fashion to determine what, when, where, and why of the activities that consumers engage in. This data is enabling improved insight and reach for business growth and consumer experience improvement.

Amit Deshpande, Vice President, Analytic Consulting Group, Epsilon

Leverage GeoSpatial analytics in improving business models

In 2016, we have seen “Geo spatial analytics” gain good amount of momentum in India. Geo spatial analytics refers to mapping of events to point in time locations.

With a massive adoption of mobile devices across India in the past year and businesses getting more digitized, there are lots of “time and place” data that is being collected today. Besides mobile devices, emergence of sensors with respect to smart cities in India, drones being evaluated in agricultural and construction sectors, emergence of social media in real time, we are seeing tremendous business potential in terms of leveraging Geo spatial analytics in improving business models and this trend will only continue to grow.

Sunil Shirguppi, ‎Senior Vice-President – Big Data and Analytics at Happiest Minds Technologies

In 2016, businesses found value in understanding the ‘where’ factor of data and the ability to query location based information or location analytics into their existing analytics. Business intelligence solutions along with geographic analysis brought forth insights that helped companies better communicate with their customers, create more targeted promotions and pursue previously unrecognized cross-selling opportunities.

Manish Choudhary, SVP, Global Innovation and MD, Pitney Bowes India

Analytics Governance Platforms

The use of analytical models is significantly increasing across business functions (marketing, sales, risk, pricing, etc.) and business & product lines of the enterprise. They are at different stages of deployment and being used continuously by various business users simultaneously. However post implementation of such models, businesses are not necessarily being able to track how these models are performing and not sure if they are delivering the promised value. Neither do the businesses know the interlinkage effect of all these models working together.

With the increasing use of analytical models in business decisions, consolidating them in a single technology console, monitoring the health of analytics implementations and model performance is becoming a crucial need for business leadership and regulators. This will help track the analytics performance, demonstrated ROI and avoid the risk of incorrect decisions made because of analytics. ‘Analytics governance platforms’ will gain prominence across all large enterprises and will become mainstream to monitor the analytics deployment through workflows. The ROI of the analytics governance platforms will be seen in the long-term and would reap the benefits of governing complex analytics environments in a single platform with more visibility to the analytics ROI.

Prithvijit Roy, CEO, and Co-founder, BRIDGEi2i Analytics Solutions

Here’s the complete report.

Download the complete report below:

The post Top 10 Analytics Trends in India to watch out for in 2017 – By AIM & AnalytixLabs appeared first on Analytics India Magazine.

Though the concept of Artificial intelligence has been existing for quite a while, it is only in the recent years that it has picked up on the technology charts and is trending on every industry possible. Becoming one of the best-loved technologies amongst the ingenious minds across the globe, AI demands a blend of computer science, math, cognitive psychology and engineering.

There is no doubt about the fact that soon the demand for professionals trained in Artificial Intelligence would outrun supply. Though there is some overlap of AI with analytics, a proficient AI professional would have deep knowledge on areas like computer vision, NLP, robotics and machine learning.

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 marsters programs in AI. With a lot of scope that this area has in store, many universities and institutes across the globe would soon tap onto this opportunity and would start offering training and courses that promises to up the knowledge and skill sets in AI and machine learning.

Analytics India Magazine brings to you the 10 leading centres across the world that offer Masters Program in AI. Please note, these are dedicated master programs in AI. We have not included short term or elective offerings on AI.

KU Leuven – Master of Artificial Intelligence

The Master of Artificial Intelligence programme at KU Leuven explores and builds on these fascinating challenges. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds – including engineering, sciences, economics, management, psychology, and linguistics – in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.

Polytechnic University of Catalonia – Master in Artificial Intelligence

This program is addressed to national and international students who wish to acquire advanced knowledge in AI in order to occupy positions of responsibility in industry, the public sector and academia in Catalonia, Spain or abroad. The program covers many research areas related to the design, analysis and application of AI.

Students who undertake this master’s degree will be equipped to:

• Deal with technically complex problems that require a degree of innovation and/or research.
• Make strategically important decisions within their professional domain
• Pursue doctoral studies within the domain of information and communication technologies at the UPC, the URV, the UB or abroad.

Radboud University – Master’s programme in Artificial Intelligence

• Title/degree:Master of Science (MSc)
• Duration:2 years (120 EC), full time
• Start months: September and February
• Language of instruction: English

The AI Master’s programme at Radboud University has a distinctly cognitive focus. This cognitive focus leads to a highly interdisciplinary programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

University of Amsterdam – Master’s programme in Artificial Intelligence

• Degree programme: MSc Artificial Intelligence
• Type: Regular study programme
• Mode: Full-time
• Credits: 120 ECTS, 24 months
• Language of instruction: English
• Starts in: September

The Master’s programme in Amsterdam has a technical approach towards AI research. It is a joint programme of the University of Amsterdam and Vrije Universiteit Amsterdam. This collaboration guarantees a wide range of topics, all taught by world renowned researchers who are experts in their field.

University of Edinburgh – MSc in Artificial Intelligence

This MSc is taught at the UK’s longest established centre for artificial intelligence, which remains one of the best in the world.

Our research draws on neuroscience, cognitive science, linguistics, computer science, mathematics, statistics and psychology to span knowledge representation and reasoning, the study of brain processes and artificial learning systems, computer vision, mobile and assembly robotics, music perception and visualisation.

We aim to give you practical knowledge in the design and construction of intelligent systems so you can apply your skills in a variety of career settings.

University of Georgia – MS IN ARTIFICIAL INTELLIGENCE

The Master of Science in Artificial Intelligence (M.S.A.I.) degree program is offered by the interdisciplinary Institute for Artificial Intelligence. Areas of specialization include automated reasoning, cognitive modeling, neural networks, genetic algorithms, expert databases, expert systems, knowledge representation, logic programming, and natural-language processing. Microelectronics and robotics were added in 2000.

University of Groningen – MSc in Artificial Intelligence

• Degree: MSc in Artificial Intelligence
• Course type: Master
• Language of instruction: English (100%)
• Duration: 24 months (120 ECTS)
• Start: February, November, September
• Programme form: full-time
• Faculty: Mathematics and Natural Sciences

The courses taught in the area of cognitive robotics are related to research in social robotics, to the origin of robotic communication and to the way in which robots recognize movement. Research is conducted at the Artificial Intelligence and Cognitive Engineering Institute.

University of Sheffield – MSc Computational Intelligence and Robotics

You will undertake a broad spectrum of modules related to computational intelligence and robotics, including vision, speech, neural networks, mobile robots and autonomous vehicles and computational neuroscience.

You will be taught by world-leading experts from the Departments of Automatic Control & Systems Engineering, Computer Science, and the neuroscience group in Psychology. The teaching will include lectures, seminars, tutorials, individual assignments and a major research project.

This course provides the multi-disciplinary knowledge and skills you will need to meet the demand for experts in computational intelligence.

University of Southampton – MSc Artificial Intelligence

• Degree Awarded: MSc
• Intake: 350 places across all ECS MSc programmes
• Average applications per place: 7

This research-led MSc takes a contemporary approach and covers the fundamental aspects of traditional symbolic and sub-symbolic aspects.

The programme will give you a solid awareness of the key concepts of artificial intelligence. You will also learn the techniques that form the current basis of machine learning and data mining. You will develop a wide-ranging skill set that supports further study or that you can use in application development.

As a result of the leading research being undertaken at Southampton, the course is able to offer a wide range of options that cover state-of-the-art modern techniques, which directly reflect research directions in ECS.

Utrecht University – MSc in Artificial Intelligence

• Title: MSc
• Master’s degree in: Artificial Intelligence
• Programme: Artificial Intelligence
• LANGUAGE OF INSTRUCTION: English
• PART- OR FULL-TIME STATUS: Full-time
• DURATION: 2 years
• CREDITS: 120
• START OF STUDIES: February, September
• FACULTY: Science
• GRADUATE SCHOOL: Natural Sciences

As a graduate of the Artificial Intelligence programme, you will have a solid understanding of the logical, philosophical, and cognitive foundations of AI research. You will also have a good overview of the main AI techniques and an in-depth understanding of how to apply these techniques in at least one of the areas within multi-agent systems, reasoning, or cognitive processing. In addition, you will have the skills to carry out AI research in academic or R&D environments and to identify how AI techniques can provide intelligent solutions to IT problems in companies and organisations.

The post 10 Leading Masters Programs on Artificial Intelligence from around the world appeared first on Analytics India Magazine.

From the phenomenal rise of startups to the groundbreaking Startup and Standup India initiative launched by the Indian government in January 2016, the Indian startups are truly having a Renaissance moment.  World Economic Forum has acknowledge India for having the “fastest growing base of startups worldwide”.

While 2016 kick-started on a muted note and investments trickled down as compared to last year, 2016 had not been as eventful for the startup ecosystem. The market sentiment is that Indian startups have definitely moved past a) massive valuations b) waning interest in foodtech and e-commerce c) fintech, AI and healthcare are the sunrise sectors.

In an independent study conducted by Analytics India Magazine, we list down the key findings on investments and funding trend and how the startups fared vis-à-vis 2015.

2016 saw $210M invested across 20+ deals, according to research done by Analytics India Magazine. This is 18% less than the investment in 2015 of around $260M.

Note that this study includes numbers for only startup funding and not acquisitions for the year. Yet, just to list some key acquisitions in this space for 2016:

• Analytics Quotient (AQ) acquired by Millward Brown
• Minacs acquired by Synnex for $420 M
• D-Square by Hansa Cequity
• Chatimity (An AI company) acquired by Freshdesk
• AugmentIQ Data Sciences by L&T Infotech
• Enlightiks by Practo
• Tuplejump by Apple for $20M

Big ticket Funding

When it comes to big-ticket funding rounds, 2016 missed the mark completely in snapping up big deal sizes (we consider a funding of more than $25M as big ticket).

There were just 2 big ticket funding rounds in 2016 – $100M investment in Fractal Analytics by Khazanah and $30M, series C round for Qubole.

In 2015, the big-ticket investments included Series D funding of Manthan, Series A of Pune based Saama Technologies, Series A funding of Antuit by Goldman Sachs and Series B of NCR based Axtria.

A reduced number in big ticket funding is the major reason for the 18% decrease in total funding in analytics ecosystem in India, even though the number of seed funding deals increased drastically this year.

The Funding Trend

Though 2016 saw a dip in receiving fund infusions, the numbers are still higher than 2013 & 2014 combined.  Another key finding that the size of the deals had whittled down, with VCs treading the startup landscape more cautiously.

In terms of the monthly trend, 2016 saw a funding spike in the month of May, given the funding of Fractal Analytics.

Analytics Investment by Funding Round

Series C funding owes more than 60% of all analytics funding last year. This is owed to just 2 rounds – $100M for Fractal Analytics & $30M for Qubole.

As shown in the above figure, almost half of all funding rounds were Seed/ Angel investment, yet they account for just 4% of funding amount in analytics startup ecosystem.

Now contrast this from last year.

2015 saw more early stage venture activity in form of Series A investment. Whereas this changed drastically in 2016 where we mostly saw a rise in angel activity. Though the number of deals in these 2 years were almost the same.

Analytics Investment by Cities

In terms of cities, 86% of all analytics investment happened in companies based out of either Bangalore or Mumbai. It was distantly followed by 8% in NCR and 5% in Chennai.

Yet, almost 1 out of 2 funding round happened in startups based out of Bangalore. Which means that Bangalore is the still the startup capital of India, topping the charts as being the preferred base for startup founders. While the majority of Indian startups are concentrated in Bangalore, Chennai and NCR, other emerging cities in the startup ecosystem are — Pune, Hyderabad, Ahemdabad and Jaipur.

Artificial Intelligence on Rise

Second half of 2016 saw an increased venture interest in AI and this seems to continue in 2017 as well. The AI startups have emerged to be the most sought after with VCs from Sequoia Capitals and Unilazer seeding investments. India has 170 AI startups (according to Zinnov) at present, with Bangalore housing 64 AI-focused startups. One of the most significant AI investment was received by Hyderabad based Tuplejump that was acquired by Apple Inc for $20 million.

• SigTuple, launched in July 2015 received seed funding from Flipkart founders Sachin Bansal and Binny Bansal
• Niki ai, launched in 2015 received funding from Unilazer and Ratan Tata
• vPhrase Analytics, raised an undisclosed amount from Venture Catalysts last year in March

The post Indian Analytics Startup Funding in 2016, more than $210M invested last year appeared first on Analytics India Magazine.

With analytics domain expanding its wing into AI, machine learning, NLP and more, this year’s startup list has quite interesting names that are doing some intriguing work in this field. Starting from video analytics to applying analytics in digital marketing, these startups have brought in many interesting concepts to the table.

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.

Read:

10 Emerging Analytics Startups in India to watch for in 2016

10 Emerging Analytics Startups in India to watch for in 2015

10 Emerging Analytics Startups in India to watch for in 2014

10 Emerging Analytics Startups in India to watch for in 2013

1. Dataxylo:

A Customer Analytics company with an award-winning AI powered platform (CIP) for Marketing Ops, Dataxylo helps marketing operations to continuously identify, unify, cleanse, enrich customer data to further power the embedded analytics engine which enables deeper insights to predict re-marketing opportunities. DX Platform most uses cases are across omni-channel Retail, High Tech domain.

In the marketing world where improvements are measured by small percent points of improvement, DataXylo customers regularly report a 4X+ lift in retention and monetization efforts. DX platform ensures that you leverage all your customer data, conduct cross channel identification and ensure continuous campaign improvement – while leveraging behavioural and intent based insights through its sophisticated AI based platform which is offered as both API and UI based tool with integrations across majority of tech apps.

A venture backed MIT spin off, Dataxylo was co-founded by Abhi Yadav- CEO & Iqbal Kaur– COA, now with an impressive team and offices across Cambridge (HQ), Bengaluru & Sunnyvale.

It flaunts an impressive list of Investors, Board members and Advisors including Michael Cusumano – (Sr MIT Professor), Mike Kail – (ex- CIO Yahoo), Michael Fleischman (Twitter Board), and Serial Tech Entrepreneurs like Deepak Taneja and Doug Levin.

2. Emplay:

A 4-year-old product start-up headquartered in California with its core team of data scientists and product engineers located in Bangalore, Emplay brings the concept of self-driving cars to the world of business with its AI and machine learning based decision making and action automation products.

It is also building intelligent sales bots that can perform sales activities on behalf of sales reps. The bots can assist, augment and replace sales reps in various scenarios providing unprecedented return on sales investments.

Led by Sanchita Sur (CEO) and Sharad Joshi (CDO), who together bring an amazing mix of business and technology experience, Emplay has won 4 global industry awards 4 years in a row for helping Fortune 500 companies predictably meet their revenue goals by providing turn by turn data driven guidance to their sales reps.

Emplay’s clients include large software, high tech, insurance and retail companies. A part of SAP’s start-up focus program, Emplay is on its path to tripling its revenue in 2017.

3. G Square:

There are very few companies globally who provide plug and play analytics productified solutions- G-Square Solutions being one- which was founded by Gurpreet Singh and Gopi Suvanam in 2014, to harness the huge potential and underpenetration of analytics products and services.

With a B2B approach, they offer SaaS based financial products and also provide services in sales, marketing and risk analytics tailored to the client requirements. They also have a strong expertise in Artificial Intelligence, Machine learning and apply strong data engineering in each assignment, their sweet spot being the Financial Services and Fin-Tech space. Other areas where it provides its tools and services are across Banks, NBFCs, Wealth Management companies, Asset Management Companies.

Their uniqueness lies in using their in-house technology and proprietary algorithms for building models along with conventional methods.

Recipient of the Emerging Analytics Services Startup of the year award at CYPHER 2016, Analytics India Summit in 2016, G-Square wishes to be the Artificial Intelligence driven plug and play analytics product provider with a nimble footed approach to client requirements.

4. Hiddime:

Lead Semantics, a new generation AI company integrating knowledge bases and machine learning, develops products and services targeting the area of ‘Semantics Integrated Data Science’ for both the Enterprise and the Cloud environments. Hiddime.com is first of its kind Semantic Cloud-BI tool that enables advanced analytics on the cloud. an ‘Interactive Discovery and Exploratory Analytics’ tool (IDEA tool) in the cloud, hiddime.com enables end business users with little IT knowledge to deliver routine to sophisticated BI and advanced Analytics with just point and click interactions in the browser.

Their data science teams deliver NLP, Graph, Machine Learning and Semantic Technology projects that also include integration of complex Big Data engineering pipelines feeding into BI Datawarehouses and Smart Data Lakes. Their pedigree and experience uniquely positions them to take advantage of the recent surge in interest in Smart Data to deliver cutting edge data science that enterprises are striving for globally.

Following the win at CYPHER 2016, as the ‘Analytics Product of the Year’, they have been witnessing tremendous traction with customers.

5. Realbox:

India’s upcoming and promising Data Science Company, Realbox has a vision of uplifting the standards of contemporary Brick and Mortar businesses. Leveraging their published Customer Profiling patent, they are taking Guest Experience to a whole new level. Realbox is solving the biggest problem of real-time analysis of large customer data for enterprises like movie theatre giant PVR Director’s Cut and Australia’s biggest juice chain JOOST among many others in retail and hospitality industry.

Its flagship product Pulse is like the Google Analytics for offline business. This intelligent dashboard can be installed on top of any existing POS enabling firms to use data analytics without changing their existing technology. Decision-makers get access to business summaries and key performance metrics on mobile devices in real time, helping them remain agile and in control of their businesses. It does this by making use of Business Intelligence and Predictive Analysis tools to help increase revenues and decrease risks.

Based in Delhi, Realbox Data Analytics Pvt. Ltd. was incorporated in April 2015 by Founder and CEO Saurabh Moody and co-founders Preksha Kaparwan(CMO) and Arjun Sudhanshu(CTO), proving to be a prominent leader of India’s tech startup community since its inception.

6. RecoSense Labs:

With its data intelligent platform which can independently interpret the context of the user and the content to generate structured meta-content, RecoSense helps Digital Publishers and Enterprises to automate the personalization of their content for every User. The platform achieves strong user engagement, content discovery and better monetization by delivering the right content to the right user for any endpoint – App, Web or even Devices.

RecoSense platform is derived from an indigenously built IP to interpret any kind of content (Videos, Text, Images, Ads) based on Natural language processing and Machine Learning framework.

It offers a distinct advantage for its customers with a strong focus on content interpretation compared to just the data insight from traditional clickstream analytics. The platform capabilities extend to Automated Metadata generation, Content management systems, Data analytics, Youtube solution, Loyalty Management Features etc.

Founded in September 2014 and based out of Bangalore, RecoSense works with marquee clients in Digital Media, Telcos and now expanding across the globe into other sectors like Financial services, eCommerce, Travel portals etc. It serves over a billion recommendations a month with a strong impact on increasing Watch time and User Actions due to higher relevance of content.  

Led by Amith Srinivas, Raghunandan Patthar and Shivkumar Janakiraman, the firm has won two awards last year- ‘Product Innovator 2016’ by Frost & Sullivan and ‘Top 100 startups 2016 in Asia’ by Red Herring.

7. Think Analytics:

Founded by Amit Das, Suryadip Ghoshal and Monish Salot, Think Analytics India is an analytics solution and services company founded in 2014.  Starting as an offshore analytics advisory for US clients, the team has since built multiple solutions, and is continuing to invest in products with a potential of disrupting the mobile data and analytics ecosystem.

Their most recent solution, Algo360, is powered by extensive libraries, NLP, and machine learning algorithms, allowing the companies to get a real time 360-degree view of their customers. For instance, an NBFC or a P2P lending company can leverage Algo360 scores and custom risk scorecard layer to power instant loan decisions. An e-commerce company can deploy Algo360 to identify its value destroying customers, or build a pay later framework. Algo360 aims to make a difference for “new to credit” segments and make credit more accessible for the under-banked and unbanked segments.

Headquartered in Mumbai, their goal this quarter is to assess at least a million applications, especially the 40-50% that existing bureaus do not cover.

8. Vahanalytics:

Founded by Shivalik Sen, Arun Gandhi, Nikhil Tavora and Someshwar Dash, alums of BITS-Pilani, Vahanalytics (VA) makes better drivers through smarter data. VA works with fleet companies to give them insights into the safety and performance of their drivers while monitoring them using their smartphone based technology.

Displaying their core strengths in data sciences, physics and computer engineer, their edge is in their ability to quickly ideate and build innovative solutions for pattern matching and outlier detection problems in the logistics space with machine learning at its heart.

With a lot of research stating that better driving practices and corrective measures not only help fleet owners have safer and more efficient operations, it also helps them increase fuel efficiency, cut down on maintenance costs and see a host of non measurable value additions to their business and operations.

9. Vidooly:

Vidooly is an Online Video Analytics and Marketing company that provides tools for Online Video Creators, Multi Channel Networks, digital focused brands and agencies. India’s only Digital Video Analytics company, Vidooly is quite unique from its global counterparts because unlike most of them, it caters to multiple stakeholders of the online video ecosystem.

Video creators can use its tools to increase their online visibility and expand their audience whereas Multi Channel Networks can acquire new partners and run their operations better using Vidooly’s comprehensive Content Management System. Brands and agencies that focus on digital video can get a deeper understanding about their target audience and run their Marketing and advertising campaigns with optimum targeting, resulting in the best ROI for them.

With online video gaining momentum in India, Vidooly is poised to play a vital role in the ecosystem in 2017. From social video to OTT and Video On Demand, Vidooly has set its aims high this year and is all set to punch above its weight.

10. VokseDigital:

A management consulting startup, VokseDigital focuses on leveraging the power of analytics to provide actionable insights to business to drive growth and improve profitability.

With the founding team boasting a cumulative experience of 75+ years in consulting and delivering complex projects with specialization in customer and marketing analytics, the team has deep domain expertise across Retail, eCommerce, Banking, Insurance, Financial Services, Telecom and Healthcare verticals.

VokseDigital is engaged in providing digital analytics services to marquee clients dealing with business challenges of customer churn, ridership analytics, marketing effectiveness, to name a few. Their niche focus enables them to provide the necessary depth and the breadth in dealing with disparate data such as image, video, web, mobile, speech, text and others. It is also creating solutions in the areas of customer experience, social media analytics, web & mobile analytics leveraging the Microsoft stack.

Their unique approach focuses on converging cloud, mobile, big data, machine learning and advance analytics like predictive, prescriptive, NLP, sentiment analytics in:

• “getting better insights” out of the existing data
• “enabling sales force” to quickly respond to prospects and customer leads
• “enhanced omnichannel customer experience” to acquire and retain customers
• “effectively targeting & engaging” high revenue and profitable clients
• “creating value & maximizing returns” from digital investments.

The post 10 Emerging Analytics Startups in India to watch for in 2017 appeared first on Analytics India Magazine.

Investors pumped in $213 million across over 20 deals in Indian startups in 2016. Though the investment appears to dwarf the total investments in all startups in India, analytics still forms a significant rising technological domain which is eminent from the big PE names below.

Read Top 10 Investors in Indian Analytics firms – 2015

1. Khazanah Nasional Berhad

Investment: Fractal Analytics

Khazanah Nasional Berhad is the sovereign wealth fund of the Government of Malaysia.

Khazanah holds and manages selected commercial assets of the Government and undertakes strategic investments on behalf of the nation. It is involved in sectors such as power, telecommunications, finance, healthcare, aviation, infrastructure, leisure and tourism, and property, amongst others. The fund is a member of the International Forum of Sovereign Wealth Funds,[1] which maintains and promotes the Santiago Principles on best practices in managing sovereign wealth funds.

Its portfolio includes Axiata, CIMB, Tenaga Nasional, IHH Healthcare, UEM Group, Telekom Malaysia, Malaysia Airlines, and Malaysia Airports.

2. Lightspeed Venture Partners

Investment: Qubole & Innovacer

Lightspeed Venture Partners is a venture capital firm focusing on early and expansion stage investments in the consumer, enterprise technology and cleantech markets.

Lightspeed Venture Partners has backed more than 200 companies, including Brocade (BRCD), DoubleClick (acquired by Google after going public), Nicira (acquired by VMware), Playdom (acquired, DIS), Pliant Technology (acquired, SanDisk), XtremeIO (acquired, EMC), Blue Nile (NILE), Fusion-io (FIO), Phone.com (OPWV), Informatica (INFA), and Solazyme (SZYM). The fund has 24 early stage enterprise investments that have gone public, the most of any fund in the world.

3. Access Asset Managers

Investment: Beroe

Access Asset Managers is a fund manager set up to focus on Private Equity Investments in the Indian SME sector. The Manager is in the process of launching Access India Fund – I invest in high growth small and mid-cap companies in India

The two principals of the Investment Team, Nilesh Mehta and Sangeeta Modi are seasoned investment professionals. They have collectively over forty five years of investment experience in Indian debt and equity of which twenty years are in the private equity industry.

Access believes that the best results can be achieved when the fund manager can partner with the management of the investee company to assist in growth. Typically Access attempts to provide guidance on both operational and strategic issues.

To this extent, Access’ management team also includes prominent entrepreneurs with real and relevant experience of managing businesses in addition to the Investment Team.

4. Edelweiss Private Equity

Investment: Bridgei2i

Edelweiss Private Equity (PE) is the venture capital and private equity arm of Mumbai-based financial services firm Edelweiss Financial Services Ltd. It is focused on future demand areas including wearable technologies, internet of things, data analytics, fintech, health and hygiene. The fund was set up in May 2015.

5.  Charles River Ventures

Investment: Qubole

CRV (a.k.a. Charles River Ventures) is a venture capital firm focused on early-stage investments in technology and new media companies. The firm, which is based in Cambridge, Massachusetts and Menlo Park, California, was founded in 1970 to commercialise research that came out of MIT. (Its name comes from the Charles River that divides Boston and Cambridge)

The firm has raised over $2.1 billion since inception across 16 funds. Upon closing of the 16th fund, the firm rebranded to CRV. Prior to that, the firm’s most recent fund, CRV XV, closed in February 2012 with $375 million of investor commitments. CRV’s 14th fund raised $320 million of commitments.

6. Institutional Venture Partners

Investment: Qubole

Institutional Venture Partners (IVP) is a US-based private equity investment firm focusing on later-stage venture capital and growth equity investments. IVP is one of the oldest venture capital firms on Sand Hill Road founded in 1980.

7. Norwest Venture Partners

Investment: Qubole

Norwest Venture Partners (Norwest) is a venture and growth equity investment firm with approximately $6B in capital under management.

The firm targets early- to late-stage venture and growth equity investments across several sectors, including cloud computing and information technology, Internet and consumer, software as a service, business and financial services, and healthcare.

8. Pravega Ventures

Investment: Innovacer

Pravega Ventures, founded in 2016, is an early stage Venture Capital fund focused on providing seed and pre-Series A funding to companies.

9. WestBridge Capital

Investment: Innovacer

WestBridge Capital is a highly experienced investment firm, managing over $2 billion of capital, which focuses on investments in India. WestBridge seeks to partner with some of India’s most promising mid-sized companies run by outstanding entrepreneurs and management teams for the long-term, whether they are public or private. A typical investment ranges from $10 million to $80 million, often resulting in a substantial minority equity ownership, second only to the founder in many cases.

WestBridge was co-founded by KP Balaraj, Sumir Chadha, SK Jain and Sandeep Singhal. The same team of four also co-founded Sequoia Capital, India. In the last fifteen years, the team has led investments in over 80 companies and oversaw a total investment of over $1.6 billion. The six funds that invested on the advice of the team, have raised over $3.2 billion in capital. The team is one of the most recognized in the industry, and has a combined 50+ years of experience in investing in Indian companies.

10. Sequoia India

Investment: Vymo

Sequoia Capital is an American venture capital firm. The firm is located in Menlo Park, California and mainly focuses on the technology industry. It has backed companies that now control $1.4 trillion of the combined stock market value. Sequoia manages multiple investment funds including funds specific to India, Israel, and China.

The post The top 10 Investors of Indian Analytics startups in 2016 appeared first on Analytics India Magazine.

Movies have been obsessed with depicting robots since the very inception of this technology. Robots have been introduced in movies as mercenaries, sidekicks, assistants, rouges, and what not. We have watched them over the years through movies, within twisted plots and wondered what would the world look like if these robots were for real. That’s again the beauty of a movie, it makes you think.

The robots portrayed in the movies have been mostly instrumental to the plot, hilarious at times, dark at few instances, and sometimes menacing too. But, it’s again the remarkable portrayal that makes them memorable. Let’s try to remember some of the robots from Hollywood’s past and present who have etched themselves in our heart.

Atom

The robot appeared in the Hugh Jackman starrer movie called Real steel. This sci-fi movie on sports has Atom, a sparring robot, as one of the central characters. The movie was released back in 2011.

A kid finds a dumped robot and turns it into his ring fighter. The kid takes the support of Charlie (played by Hugh Jackman) to teach the robot how to fight in ring. The robot is not that big compared to its counterparts, but it definitely knows how to lend a punch.

Baymax

This robot was one of the pivotal characters in the 2014 animated blockbuster, Big Hero 6. The plot explores the special bond that develops between a plus-sized inflatable robot Baymax, and a young prodigy Hiro Hamada.

Baymax was essentially a medical roid, designed by Hiro’s brother, before he died. The robot is funny in its own ways, but Hiro reprograms Baymax with Ninja skills, so that it could protect and fight alongside Hiro.

C-3PO

This is one of the most popular robots to exist in Hollywood, featured in the epic Star Wars. The robot has always projected a nervous, bumbling nature. But surely, does the robot have a heart of gold, and a bod painted in golden.

The robot was created by a young Anakin Skywalker, a central character of the saga. The sole duty of this robot was to just help humans and other living beings.

Gipsy Danger

Directed by Guillermo del Toro, Pacific Rim, a 2013 movie revolves around a former pilot and a trainee, paired up to drive a special weapon to save the world from the impending apocalypse. The special weapon is a massive robot, which they call Jaegar in the movie.

Gipsy Danger was the name assigned to the Jaegar which the central characters in the movie steer. These robots needed two people to pilot them, but once the pilots would establish full control of these robots, they were indestructible.

HAL 9000

HAL 9000 is another trip down the memory lane. The 1968 movie, called 2001: A Space Odyssey was intelligent beyond time and we have Stanley Kubrick to applaud for this amazing marvel of movie.

Humanity undertakes a mission to investigate the lunar surface along with HAL. In the movie, HAL had no physical body unlike others on the list, however, it had been given full authority over every aspect of the ship they were traveling in. Unfortunately, HAL turns rouge towards the end of the movie.

Optimus Prime

This robot appears as one of the lead protagonist in the movie called Transformers, adopted from an animated series by the same name. There’s a war going on in Earth between two factions of robots, Autobots and Decepticons, who have invaded the planet in search of a powerful source of energy.

Optimus Prime leads the Autobots faction, helping both humankind and robokind co-exist peacefully on earth. This robot is remarkable and realistic in terms of its design, and has left a deep impact on moviegoers of different ages.

RoboCop

The movie which goes by the same title, is about a terminally wounded cop who returns to precinct as a powerful cyborg. The robot faces against a crime-ridden Detroit while being haunted by submerged memories. The movie delves a lot on the the push-pull between RoboCop’s human and robot sides.

RoboCop as darn popular among the kids with its animated spin-off. In 2014, there was a reboot to the original movie. This law enforcement robot has definitely influenced people around the word

T-800

The 1984 classic, The Terminator featured this unstoppable and iconic robot. The role for this robot was enacted by Arnold Schwarzenegger. The robot was initially tasked with the duty to kill any human that stood in the way of Skynet’s attempt to take over the world.

However, the sequels to the movie witnessed T-800 aberrate from its initial mission, to rather help John and Sarah Connor, the ones whom the robot was originally tasked with eliminating. The robot was reprogrammed for it to reflect a change of heart.

TARS

This iconic portrayal by Bill Irwin in the 2014 sci-fi drama Interstellar is definitely one of the best on the list. Throughout the movie, the robot goes about his mission with cool efficiency, pausing every so often to gossip.

TARS is a box-shaped robot. TARS had a human personality, and sense of humor was just another attribute the robot could impress humans with. The robot is ever willing to sacrifice itself to help his friends on the mission.

Wall-E

Wall-E is definitely one of the most memorable robots to have featured on the list. This Pixar creation reflected personality and charm like none others. Wall-E was depicted as a complex character, capable of exhibiting heroism and vulnerability.

The robot was capable of falling in love, and did so during the course of the movie. Wall-E finds a female robot, named Eve and leaves the planet to follow her into space. The robot however was depicted as being bored, staying alone for centuries on Earth.

The post Which 10 Robots from Hollywood make us wish they were for real? appeared first on Analytics India Magazine.

Robotics is not a latest phenomenon. Since the advent of industrial age, robotics has been part of high-tech industry. Yet, the scope has changed drastically today.

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.

1. Asimov Robotics

ASIMOV Robotics Pvt Ltd is a single window Solution and Services provider who can meet all robotics/automation needs. They provide engineering products solutions and consultancy in the areas like robotic simulation and control, machine-vision, training, virtual reality, and navigation applications. Their systems/solutions provide the customers a competitive advantage. They have expertise in designing and developing customized solutions to meet specific requirements to maximize profit, maintain quality, reduce risk and to support research.

2. DiFACTO Robotics and Automation

DIFACTO serves a range of industries – automotive, transportation, energy, consumer goods, food and beverages, health and pharmaceutical, defence and aerospace, electronics, and more – for all their robot-based automation needs. DIFACTO’s customers are manufacturing companies, OEMs supplying automated equipment and machinery, robot companies and system integrators/line builders.

3. Grey Orange

GreyOrange is a multinational technology firm that designs, manufactures and deploys advanced robotics systems for automation at distribution and fulfillment centers. They combine expertise in robotics, hardware and software engineering to solve operational inefficiencies in warehouse operations at both third-party logistics vendors as Gridbotsll as companies with in-house logistics functions. With in-house Mechanical, Electrical, Embedded, UI/UX, Software department and quality assurance teams, GreyOrange ensures unquestioned quality of all their products.

4. Gridbots

Gridbots is a young technology and Innovation – Robotics company from India and work in the field of Robotics – Artificial Intelligence and Machine Vision. Founded in August 2007 by young and passionate innovator Mr. Pulkit Gaur [TED Fellow and MIT Young Innovator of the year].

Gridbots today are a team of more than 30 people – Head quartered in Ahmedabad. Gridbots have sales and support offices in Jaipur – Meerut and Faridabad – India. Since inception the company has been growing exponentially both in terms of market share and technological capabilities day by day.

5. I2U2 Robot

i2u2 is a telepresence robotic companion – it allows you to log into it from any compatible iOS, Android, Windows device, and take control of it, from anywhere in the world. Walk, talk and play at home, with the ones who matter, whenever you want, wherever you are.

6. Milagrow

Founded in 2007, Milagrow came into existence with the aim of offering support as a venture catalyst to fill the ‘Management Capital’ need gaps of growth-seeking micro, small and medium businesses (MSMEs). Milagrow diversified into ‘products’ and set up its HumanTech division in the 4th quarter of 2011 with the objective of empowering individuals and families across the globe with technologically humane products, adapting the latest advancements in the field of Robotics, Mobility and Home Automation.

7. Mukunda Foods

Mukunda Foods is and IAN-Investee company that designs and develops products that can make Indian Foods automatically. DosaMatic is one such product from Mukunda Foods that can make multiple types of dosas automatically. DosaMatic can make multiple types of dosas at the touch of a button.

8. Robots Alive

Robots Alive is a robot technology startup based in Bangalore, India focused on the application of robotics / robot technology across various industries. Robots Alive designs and manufactures robotic systems which are custom built for specific applications. Their specialty is to make learning systems which can be smoothly operated without the need of any robotic expert

9. Sastra Robotics

Sastra Robotics India Pvt Ltd is an innovative forerunner in providing cost effective advanced robotics and automation services.

Only three years since its launch, Sastra has leaped huge bounds by collaborating with three other pioneering companies in the same market- Switzerland based Cyberbotics, Korea based Dongbu Robot and US based Corobot. It was deemed possible through the collective efforts of talented engineers, whose passion for robotics is exhibited through their vigorous target: to develop and market high end technologies for wider range applications. Their proficiency and competence paved their way to a smashing entry into the robotics industry.

10. Systemantics

Systemantics is an Industrial Robotics company headquartered out of Bangalore, India. The company is on a mission to enable widespread adoption of flexible automation in industry. With the experience of having implemented custom turnkey solutions for several clients, the company has accomplished several innovations in robotics and industrial automation such as under water robots and walking machines.

Systemantics is focused exclusively on manufacture of high-quality industrial robots with design innovations that facilitate affordable solutions and a faster ROI.

The post 10 Robotics Startups in India that are pushing the boundaries of this area appeared first on Analytics India Magazine.

Artificial Intelligence is bound to progress further in coming years to become a commonplace. The technology has assisted computers to utilize copious amounts of data in decision-making processes, or enabled these machines to learn on their own. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time towards integrating Artificial Intelligence. These companies have also taken initiatives to evangelize the mass about AI’s capabilities and limitations.

Soon, there will be no industry left where AI is not being used. The application of this technology has already stretched across domains such as law, political science, policy, and economics; Artificial Intelligence will soon permeate areas of warfare, autonomous transportation, education, and space exploration, only to name a few. Let’s glance through a list of possible and probable futuristic applications surrounding AI, which will sure make human lives much easier on Earth.

Autonomous Transportation

The complete transition to an AI-guided transport system will soon be a reality, as companies like Google, Uber, and General Motors are striving hard to establish themselves at the top of this market. from Google to Uber to General Motors all want a piece of the fast-growing market for driverless vehicles. The algorithms designed to enable machines to learn from human inputs will be crucial in ensuring that these systems operate smoothly and efficiently.

These vehicles can take the form of passenger cars, like the kind Uber runs now; or the one Google has been testing for years. But the quest isn’t simply limited to the scope of passenger transportation. Otto, a startup working on driverless trucks was recently acquired by Uber. With this, we are probably looking forward to major changes around the industry which deals with shipping products around the country.

Education powered by AI

In future, AI-powered education systems will learn individual’s’ preferences, and by aggregating the data these systems will be capable of accelerating education research and the development of new tools. The future of education will witness the utilization of intelligent tutors and other AI technologies to deliver personalized education at scale. The use of AI will widen educational access, making learning lifelong, and retraining easier.

Earlier predictions surrounding the technology suggested that in future it will be possible to process individual student data, so that someone needing extra attention can be imparted recognized and helped. By 2030, you can expect the line between classroom and individual learning to almost fade away.

Employment in the era of AI

Artificial Intelligence is being proactively introduced and implemented across different sectors globally. The technology has already found its application and significance for different job roles, performing the same task humans do, with more precision and efficiency. The standout aspect lies in the fact that not only is the time taken to perform the job reduced, but AI also eliminates the chances of human error.

The future will witness the technology replacing arduous human tasks, implicating into job opportunities across newer avenues. Furthermore, the extensive use of automation will help in lowering the cost of goods and services, thus reducing the cost of living to a certain extent.

Entertainment and Artificial Intelligence

The entertainment industry is expected to transform in a bit different manner. The use of AI will make the industry more interactive, personalized, engaging in the future. Proliferation in the use of sensors and hardware will witness virtual reality, haptics and companion robots increasingly enter the home. Moreover, user would be able to interact with entertainment systems conversationally.

The technology will enable media providers to personalize entertainment to unimaginable levels. The day is probably not far when you will be able to create your own entertainment channel leveraging the power of AI.

Healthcare re-imagined

AI promises the capability to automate medical diagnostics by mining patient records and the scientific literature. This technology will allow doctors to focus primarily on dimensions of care while utilizing their experience to guide the process. Personalized medicine will soon become a reality owing to the data obtained from patient records, wearables, mobile apps, and personal genome sequencing. IBM’s Watson is already assisting oncologists to process patient data for them to make better decisions about treatment.

However, full-fledged implementation of the technology across the healthcare landscape will take time as regulation currently pose as a major challenge to the successful implementation. The FDA is finding a way to deal with the issue of balancing privacy and data access.

Home and Service Robots

Within the next couple of decades, you will be able to witness the advent of AI machines with the ability to deliver packages or clean the offices. The robots will make use of the Cloud connection to share data for accelerated learning. Moreover, the use of low-cost 3D sensors will aid in speeding up the development of perpetual technology. Also, these machines will be able to better interact with humans, owing to progress in speech comprehension techniques.

However, in the most foreseeable future, these robots are more likely to remain constrained with narrow commercial applications. The cost and complexity involved behind designing such systems makes it a challenging task to implement the perceptual algorithms into the robots.

Low-Resource Communities

AI and predictive analytics techniques will facilitate government agencies in better allocation of limited resources by helping them forecast environmental hazards or building code violations. Responsible organization can make use of AI-based planning to distribute excess food from restaurants to food banks and shelters. However, these capabilities will take some time to reflect, as the investment in this arena is under-funded currently. But, once implemented properly, the technology will help in improving lives for the poorest members of the society.

Predictive Policing

Policing is yet another domain where the future of AI can have a major stake. Within a decade, cities will fully rely on AI technologies for detecting and predicting crime. Surveillance agencies will use the power of AI in automatically processing CCTV and drone footages, which in turn will help in easily and swiftly identifying anomalous behavior.

Study suggest that in the States, 20 of the nation’s 50 largest police departments have utilized predictive policing software, to forecast the probable places where crime might occur, or to identify probable victims. However, fears surround around discrimination based on the idea of biased data. These fears have resulted in police and communities currently having limited capacity to assess such complex systems.

Space Exploration with AI

Artificial Intelligence is not a new technology for NASA, as the international body for space has already utilized unmanned shuttles, rovers and probes to explore distant galaxies, which could have otherwise taken several years. These AI-powered vehicles can identify obstacles, like craters, and find safe paths of travel around them. For future, AI can be instrumental in times of emergency, as the technology can help astronauts identify and prevent problems before they occur. Data and photographs collected from the Martian surface were earlier furnished by autonomous land rovers, reflecting on the scope of utilizing AI for space exploration.

Weaponry in the world of AI

Artificial Intelligence enters the battlefield, as significant research is being undertaken to develop weapons capable of targeting, and firing on their own. The use of AI for this purpose is a controversial topic, as the consensus dictates that humans have ultimate control over any kind of weaponry. Some technology leaders have gone to the extent of calling an outright ban on the production or use of autonomous weapons, lacking human control.

The post 10 Areas where Artificial Intelligence is going to impact our lives in Future appeared first on Analytics India Magazine.

It’s the world of data and with the ever increasing websites, smart devices and smart technologies connected over the internet, the amount of data generated can be absolutely baffling. As the data crunching games are on a rise, data and analytics companies are looking for visual based data discovery analysis that can make sense out of the huge numbers.

Whether business intelligence programs or data analytics, the insights in numerical form could be extremely useful and this is where data visualization tools come handy to comprehend and interpret the complicated data sets. And so big data and analytics data visualization tools have become an indispensable part of the industry with an increase in the demand.

Amidst the swamping choices that is being offered today, let’s give a quick glance at 10 visualization tools that every analyst and data scientist vouches by. They have been listed in alphabetical order.

1. ClearStory Data

Recognized second time in a row as visionary in the 2017 Gartner MQ for BI and analytics platform, this 2011 founded visualization tool is one of the youngest players in the market. Promising to foster 80% faster and interactive insights from disparate data, it can also auto-prep and auto-blend data without lengthy traditional data wrangling. It is based on an integrated Apache Spark-based data processing Platform.

Manufacturing, food and beverages, retail, media and entertainment, healthcare, financial services are some of the industries, the data from where ClearStory Data intelligently combines into holistic insights.

Available for a 14 day and 30-day free trial, the tool can be purchased based on the enterprise need. Coca Cola, Mars, Merck, Riviera are some of its customers.

2. Microsoft Power BI

A suite of business analytics tool, Microsoft Power BI is a solid offering for analysing data and sharing insights. It lets you visually explore data through desktop or mobile, and monitor your business to fetch quick answers. Microsoft Power BI Personal Gateway, a second piece of Windows software lets the organization to keep the data fresh by connecting to on-premises data sources.

Whether excel spreadsheet, big data, streaming data or cloud services, Power BI allows you to connect to hundreds of data sources. It can be used in industries ranging from sales, operations to finance.

Often considered a leader in the self-service BI space, this tool is available mostly for free. It allows 1GB per user of data to be analysed for free and if the storage needs a boost, it can be availed as a paid/Pro service.

3. MicroStrategy Analytics Desktop

A self-service BI platform, it supports both data mining and visualizations. With a power analytics, its intuitive toolset and built-in templates makes it easy to build compelling visualizations from all kinds of data.

Designed for individual business user, it is a fast and user friendly with quick download and installations. It can connect to personal spreadsheets, cloud based data sources like Facebook, Hadoop and other big data sources. The enterprise platform can support both web and mobile apps for an easy administration.

The best part is it’s free for basic requirements. For advanced features like Salesforce Reporting or Enterprise Information Integration, it needs to be upgraded to “Analytics Enterprise”.

4. Oracle Visual Analyzer

Claiming a place at the Magic Quadrant Business Intelligence and Analytics Platform report by Gartner this year after last year’s loss, this 2015 introduced web-based tool is provided within the Oracle Business Intelligence Cloud Service. Apart from providing advanced analysis and interactive visuals, Oracle Visual Analyzer also gives a configurable dashboard.

It’s mostly preferred by organizations with large scale enterprise deployments where it can help create detailed analyses and carefully curated dashboards resulting in detailed reports.

5. Qlik

One of the Leaders in Gartner’s 2017 Report, Qlik offers a wide range of products that provides data visualization. QlikSense, QlikView, Qlik Analytics Platform are some of its products. It lets you search and explore vast amounts of data and to analyse, reveal, collaborate and act based on the insights.

QlikSense allows you to explore the data intuitively and creating smart visualizations with drag-and-drop ease. It helps you explore complex data like never before. Its available in various versions for desktop, server, and cloud.

The pricing details are as mentioned here.

6. SAPLumira

SAP BusinessObject Lumira is a self service visualization tool that lets you connect, visualize, discover and communicated based on the large data sets. It brings data exported from sources such as Excel and others to life by creating beautiful, interactive maps and infographics.

Its intuitive dashboards perform the visual BI analysis and shares the insights with the team. Available for a 30-day trial, it can be used by individuals, SMEs and big enterprises.

7. SAS visual Analytics

One of the most traditional vendors in advanced analytics space, SAS visual analytics has been in the industry for a long time offering insights to various businesses. Its capable of delivering fast answers to complex questions regardless of the size of the data.

It’s a pioneer in comprehending information quickly, identifying relationships and pattern and pinpointing emerging trends based on the data. It’s used across industries such as healthcare, digital advertising etc.

Its web-based, interactive data exploration mode suits the needs of all types of users. Click here to see the pricing details.

8. Sisense

Sisense lets you express any piece of data to explore underlying trends and hence carry out data-driven decisions. This web-enabled platform lets you have interactive dashboards for analysing big and multiple datasets. It has been named a niche player by Gartner in its Magic Quadrant report.

It’s easy to use and lets anyone create a meaningful report without having to rely on IT proficiencies. Easy customization and the ability to share dashboards across organizations, makes it one of the favorite tools.

Ebay, Philips, Sony are its major clients. Its available for trial and the price quotes can be requested here.

9. Tableau

Considered one of the best data visualization platforms, it’s simple, drag and drop based interface gets it the major brownie point. Founded in 2003, Tableau continues to be the market leader given a wide variety of visualizations and efficient finish that it offers. It is offered on desktop, server and cloud versions and can connect to local and remote data and also to live data.

It is one of the leaders in the Gartner’s BI & Analytics Platforms Magic Quadrant 2017. It goes down well with those with no technical background as it doesn’t need any coding expertise and the interactive dashboards help uncover hidden facts faster than others.

The basic version of Tableau Desktop comes for free for students and instructors at accredited academic institutions, whereas users have to pay for advanced features.

10. Tibco Spotfire

One of the easiest tools that businesses can use to visualize their data, Tibco Spotfire is making a transition from a desktop to a cloud software vendor. Spotfire, a data discovery specialist was acquired by Tibco in 2007, and has been offering visualization and analytics software to uncover insights for better decision making. It’s also considered the best place to start visualizing the excel data.

It lets you access the data library from desktop or via browser and build dashboards to visually explore your data. It can easily mashup data from multiple resources and be shared privately or over the internet.

Available for a free trial, the tool can be purchased to avail it to its full propensity.

The post 10 Data Visualization tools that the industry relies on appeared first on Analytics India Magazine.

It is the leaders at the helm that drive the success of any organization. Adorned with knowledge, experience and expertise, these leaders add value to an organization taking it to newer heights. Rising through the challenges, motivating fellow mates and expanding working opportunities for many more professionals, these leaders are instrumental in all walks of a successful journey of an organization.

Analytics industry too is driven by some of the extraordinary brains, because of whom we see this industry the way it is today.

AIM celebrates 10 such influential leaders from the analytics/ big data/ data science industry every year that have transformed a great deal of how this industry operates. Bringing various ingredients such as impact factor, leadership, analytics evangelism and much more into consideration, we have sorted out the 10 names that have left an impression substantially this year.

Here goes the list in alphabetical order.

10 Most Influential Analytics Leaders in India – 2016

10 Most Influential Analytics Leaders in India – 2015

10 Most Influential Analytics Leaders in India – 2014

Anshu Sharma

Sr Director at AIG Science

Anshu Sharma Raja is a Senior Director and a part of the India leadership team at AIG. In her role, Anshu is responsible to seed and grow the Data Science function in India.

While she has always been a ‘data person’, having designed in-memory algorithms for large financial transaction calculations at top tier investment banks, her first brush with modern day data science was during her time at Goldman Sachs, be it solving problems, presenting the output or looking under the hood of business with the data science lens. She enjoys the journey that at most times starts with wrangling data, applying the right analysis and to most importantly correlating to the business and rendering the results. She is also passionate about creating high performing teams and believes the mantra to their success is to partner with them from step one, identifying the opportunity. She believes that the one of game changer in this space is the ‘platformization’– from data virtualization to Computer Vision APIs being made available, the field is expanding every day and it keeps one competitive.

Anshu has over 19 years of experience, almost all of it in the financial-tech industry. She started her career programming in C++ and has since then taken on roles for leading and managing large programs and product development distributed across multiple geographies for global financial institutions.

Prior to her role at AIG, Anshu was at Goldman Sachs in Bangalore, and was the regional lead for the market data function. She has also worked at Misys and Thomson Reuters.

Anshu is passionate about guiding women returning to technical careers after a break, and mentors young women and men who aspire to have technical careers. She holds a Bachelor of Engineering degree in Computer Science from Bangalore University and has undertaken the Executive General Management Program at Indian Institute of Management in Bangalore.

Atul Jalan

CEO at Manthan

Atul Jalan is currently CEO of Manthan and is permanently, an entrepreneur. It is very unlikely that you would find him not working on something new. His secret sauce however, is imagination coupled with the ability to crank, accelerate and build momentum.

As CEO of Manthan, Atul’s single objective is to keep the spirit of invention and innovation alive at Manthan – a spirit that has seen Manthan go on to become one of the leading contenders in analytics business solutions for consumer industries worldwide. Manthan is Atul’s fourth successful venture after MicroTrack, Cybertrek and Net Kraft. And today, is among the few Indian companies that can boast an analytics portfolio that several Fortune 500 companies rely on.

Atul is a known voice on technology and is sought for his views on analytics and the consumerization of technology by publications and forums worldwide. What is not known though, is that he also dabbles in poetry and takes keen interest in a wide range of subjects from movies to quantum physics. Loquacious and a polymath, Atul can hold forth the camera obscura and Johannes Vermeer as he can on analytics.

Though when he finds the time, he prefers to go skiing with his son. Three-dimensional printing and the uber-personalized era it will drive us into, is his current obsession. And if his maverick, entrepreneurial nature is anything to go by, this could translate into something new. And the bigger and more beautiful it sounds, the more passionate he is likely to be about it.

Debashish Banerjee

Managing Director, Deloitte Consulting India Pvt. Ltd.

Debashish has close to 17 years of experience in variety of actuarial, analytics and data science projects. Most of his contribution is in the advanced analytics, actuarial, risk management, data mining and predictive modeling areas. He started his career with GE and was instrumental in establishing and leading the insurance analytics, pricing and reserving team for GE in India. Arguably one of the first of its kind in India.

He was awarded the most prestigious “Summit Award” by GE. He moved to Deloitte in 2005 with the primary goal to set up the advanced analytics and modeling practice in India. Currently, he is overseeing and providing leadership to the Deloitte Consulting’s Actuarial, Rewards and Analytics practices which focuses on Actuarial and pricing analytics, big data analytics, predictive modeling and data science offerings.

He is a voracious reader and traveler and works closely with the academicians as well as corporates, and because of his publications, he has been invited in many industry and academic conferences across India and USA – the is closely associated with IIM, Ahmedabad and Lucknow, his alma matter at Indian Statistical Institute, Kolkata, CAS and SOA, USA, IAI, and NASSCOM, India to name a few.

He is a nominated member of Board of Studies, ASIBAS and received a Golden Leadership award this year from Amity University. He is also the chairperson of the Analytics Advisory board of the Institute of Actuaries in India. He looks after a few geographies and his clients are in USA, South Korea, Australia, UK and India.

Deep Thomas

CEO at Tata Insights & Quants

Deep is a passionate Data Analytics evangelist with more than two decades of proven track record in delivering sustained increasing profitability through business transformation leveraging Information and Digital capabilities, Advanced analytics, Novel processes, and Multi-Disciplinary Talent.

Deep is currently the CEO of Tata Insights and Quants (Tata iQ), a Big Data company that is incubated as the Tata Groups’ Analytics and Data powerhouse.

Prior to this; Deep has held various key positions in US and India with multinationals like Citigroup, HSBC and American Express to steer Global agenda and leverage the power of data to its fullest potential. However, his passion and desire to bring his experience to help Indian organizations unleash business value through the application of advanced analytics led him to take over the top seat at Tata iQ. Deep believes that the “time is now” to make intelligent analytics happen in India and under his leadership, Tata iQ is one of the front-runners in spearheading this change.

Deep is also an active speaker and panelist at leading Data science conferences both in India and abroad. He is a Computer Science graduate with an MS in Information Systems and an MBA in Marketing from Arizona State and holds numerous patents in Decision Science and Information Management.

Pradeep Menon

Global Analytics & Data Leader at GE

Pradeep currently leads the global analytics & data COE across the 6 GE Digital Hubs worldwide. The COE handles work across all the GE BUs in the areas of data sciences, BI/data visualization, business/decision analytics, data engineering, machine learning, artificial intelligence and data analytics on GE’s Predix IOT platform. The location footprint is spread across offices in India, Hungary, US and Saudi.

Prior to that, he led the global analytics organization for the Maersk Group based out of Mumbai and having GSC sites across India, Philippines and China. He oversaw analytics strategy, transformation and delivery across multiple business units in the organization across the shipping and energy industries.

Prior to Maersk, Pradeep led an organization at Dell dealing with the analytical aspects of product management, pricing & competitive intelligence based out of Bangalore. The team supported all of Dell’s global product brands. He was a product of Dell’s SPEED executive development program. He has had stints managing data and BI organizations at Honeywell and Oracle Consulting in the initial years of his career.

A mechanical engineer and an MBA from VJTI, Mumbai and SJMSOM, IIT Bombay respectively, he is a keen follower of the block chain space and is a fairly well known and active participant in industry and academia based events.

Prithvijit Roy

CEO at Bridgei2i

Prithvijit Roy is the CEO of BRIDGEi2i Analytics Solutions, one of the fastest growing Analytics solutions firms, featured in Deloitte Technology Fast 50 list for the last two consecutive years and also mentioned in Gartner Market Guide for one of their technology accelerators, Sales Decision Engine.

Prithvijit has a unique experience of playing a leadership role in incubating and building three of the largest and successful analytics centers in India – First at GE / Genpact, then at Hewlett Packard and last but not the least, at BRIDGEi2i. He co-founded BRIDGEi2i in 2011 and has kept a sharp focus on business problem solving and driving value through data based decision-making. This has helped the firm scale up significantly.

Today, it works with over 20 Fortune 1000 global clients in solving their challenges that might range from efficiency and growth initiatives to organizational digital transformation efforts. He led the team in leveraging their strong data engineering capabilities, driving insight generation through their advanced algorithms and machine learning techniques and by bringing the solutions back to the businesses through their technology accelerators or their managed analytics solutions.

He believes that analytics will not only drive business transformation but also solve social problems, enabling people to live better lives. He recently helped launch the community of Humans of Analytics as an initiative to celebrate the people who make this industry what it is today.

Rajendar R B

Senior Vice President – Risk Analytics at HSBC

RB Rajendar is the Senior Vice President & Head of Risk Analytics for Retail Banking & Wealth Management Business of HSBC at the Global Service Centre in Bangalore. Rajendar joined the Bank in 2014 and is a part of HSBC’s Global Analytics Leadership team contributing to Analytics Strategic Direction.

Rajendar has more than 22 years’ experience in the financial services industry and has progressed his career within the Risk Analytics & Management, Strategic Marketing, Market Research and Business Development areas. Rajendar is passionate about building high-performance teams and analytics capabilities and competencies among his employees. Over the course of his career Rajendar has set up Analytics Practices; and has specialised in Data Modelling and Marketing Sciences, Risk Management, Operations Analytics, Digital Analytics, Big Data, Market Research, Qualitative Research and Investment Research.

Prior to HSBC, Rajendar has worked for Fidelity Investments, Genpact, GE Process Solutions (USA), HSBC Credit Cards (USA), HSBC Auto Finance (USA), GE Capital International Services, Standard Chartered Bank and BPL Ltd. Rajendar has a Master of Science in Industrial Engineering and Operations Research from Mississippi State University, USA and a Bachelor’s in Electronics and Communications Engineering from University of Mysore, India.

Sameer Dhanrajani

Chief Strategy Officer at Fractal Analytics

Sameer Dhanrajani is a distinguished, well-recognized analytics and data sciences leader and visionary known for his deep knowledge, innovation and topical understanding across all genres of analytics and data sciences space. His consistent penchant to spot global analytics trends and relentlessly curate best of breed strategic analytics consulting, services, solutions frameworks, methodologies have been remarkable. Under his able leadership, Cognizant Analytics & Data Sciences today is recognized as a leading player in the marketplace with exemplary broad based offerings in analytics and data sciences consulting, solutions and platforms serving global clients across multiple industries. With 20 years of progressive and well-rounded professional experience, Sameer has donned various leadership roles in his work tenure. Prior to Cognizant, Sameer was the Country Head for Fidelity National Financial. He has been recipient of “Outstanding Leadership Award “ at India Human Capital Summit and “Exemplary Leader Award” at Asia Pacific HRM Congress.

Sameer is core member of NASSCOM Analytics Special Interest Group, ASSOCHAM Digital Council and is also an advisor to Telangana government in setting up data analytics policy and ecosystem in Hyderabad. He is a regular speaker at global conferences and has been quoted across multiple business publications. He is a well-known contributor in the academic space and is a trusted industry advisor to multiple academic universities and institutes. Sameer is a prolific blogger and influencer; his blog post “Demystifying Digital, Data Analytics and Decision Science “ is a trendsetter. He is the first professional in India to deliver TED talk on analytics.

Sandeep Mittal

Managing Director at Cartesian Consulting

Sandeep is the founder and MD of Cartesian Consulting, one of India’s leading analytics services firms with 5 offices spread across India, Singapore and USA. An alumnus of IIM Calcutta, Sandeep and his team are gaining prominence in the market for bringing Data Sciences and Machine Learning to brands who want to leverage their data for customer value, and for their impact obsessed analytics consulting work. With 17 years of experience advising clients across geographies and industries on their analytics and customer needs, Sandeep is considered an exceptional leader in the industry who leads from the front, is closely involved in client engagements, and is the go-to person for new thinking and perspective. His new areas of focus are around building AI tools for marketing, and these efforts have already led to award winning work around AI aided Email Marketing.

Sandeep has worked across multiple industries (Retail, Financial Services, Hospitality, Telecom, Education, Tech) and is a strong proponent of Segment of One thinking. He speaks regularly at industry and academic events, is considered an exceptional leader in the industry and was awarded “Big Data Founder/ Entrepreneur of the Year” at the 2016 Big Data summit.

An entrepreneur and a person who wears many hats, he founded his first firm whilst still in college, founded and ran an underground online magazine on rock music in India, plays and records music, and writes and draws a webcomic series.

Sanjay Srivastava

Analytics leader at American Express

Sanjay is currently Analytics leader at American Express. He leads analytics and reporting teams supporting Merchant business across geographies. He has 18 years of diverse experience in Analytics domain and brings rich cross industry perspective.

Sanjay is passionate about leveraging analytics to solve business problems and deliver tangible value. He believes in democratization and adoption of analytics and has led organization wide initiatives to this effect. He is an invited speaker in academia and industry forums and is a recognized thought leader.

Prior to his current role, Sanjay set up DELL’s Marketing and Sales Analytics Centre of Excellence and scaled it to one of the largest amongst captive setups in the country. He was instrumental in building advance predictive, digital and customer centric analytical capabilities. Sanjay held strategy and analytics positions with Jet Airways where he set up network optimization and fleet management systems to leverage power of analytics. Before that, at Engineers India Limited, Sanjay drove business transformation initiatives using Information management and data modeling.

Sanjay is a founding class alumnus of the Indian School of Business (ISB), Hyderabad and holds B- Tech in Mechanical engineering from IIT- Roorkee. Outside of work, Sanjay enjoys running and is a regular on the marathon circuit.

The post 10 Most Influential Analytics & Data Science Leaders in India – 2017 appeared first on Analytics India Magazine.

With data becoming increasingly central to businesses, businesses are betting big in zeroing down on the right talent. Lucre aside, analytics has become central to running enterprises efficiently.

Amidst the sheer volume and the variety of data generated, what organisations are looking at is a well-structured data and findings in a consumable format that makes some sense.

Organizations want to hire professionals who can not only slice and dice, but communicate their findings effectively to senior leadership as well. This is where the all-time high demand for analytics professionals comes in.

Analytics India Magazine in association with AnalytixLabs presents the annual, comprehensive Analytics India Salary Study 2017 that gives peek into the various aspect of salary structure for every professional who wants to makes a head-start in this industry.

Download the report to get to know the in-depth salary trends across various sectors, skills, tools and domains.

Read last year’s report here

Key Trends- 

• The average analytics salary in India for year ending 2016 was INR 11.7 Lacs across all experience level and skill sets.
• This is the highest average salary for analytics professionals ever, with almost 22% increase since a year ago. Average analytics salaries in 2016 were 9.5L.
• Though overall the number of analytics professionals increased last year, the percentage of professionals with salary in 0-6L band decreased from 42% to 39%. There has been visibly more demand for senior professionals last year, thus pushing the average salaries higher.
• On one hand, the percentage of Analytics professionals commanding salaries less than INR 10 Lacs has gone; % of Analytics professionals earning more than INR 15 Lacs has increased from 33% in 2016 to 37% in 2017.
• Analytics professionals with salaries in extreme bracket of 50+L have increased significantly this year – to 3.7% from just 1.1% a year ago.

Analytics Salaries vs other Domains-

• On average, analytics professionals receive around 30% higher salaries than IT professionals in India.
• While, the average salaries of Analytics professionals stand at 11.7L, that of IT professionals is at 8.65L, of professionals in Primary Research is 9.03L, Financial research at 8.96L and that of Secondary research is 7.83L.
• Just 39% of analytics professionals have salaries under 6Lakhs vs 58% in IT.
• 28% analytics professionals in India earn in the salary bracket of 10-25L. This number for IT professionals is 17%.

Salary Trends across Tools & Skills-

• Advanced analytics/predictive modeling professionals are paid the highest salaries compared to their analytics peers i.e. 14.7 Lacs on average.
• Big data professionals and data mining professionals get up to 13 Lacs & 9.9 lacs on average.
• BI, Reporting , MIS professionals get upto 8.3 Lacs on average and data engineer an average of 11.5 Lacs.

• Within Big data profiles:
  1. Hadoop professionals command an average of 12 Lacs. The salaries increased by around 21% since a year ago of 9.9L.
  2. Spark professionals command an average of 10.1 Lacs with an increase of almost 15% from a year ago of 8.8L.
• NoSql/ MangoDB professionals receive an average of 11.5 Lacs, a slight increase from 11.1L since a year ago.
• Qlikview professionals command marginally higher than Tableau professionals in visualization skill jobs – 12.1 Lacs vs 11.7 Lacs on an average. Visualization tools salaries have increased around 28% since a year ago.
• Within Advanced Analytics profiles:
  1. R programmers receive the highest average salaries this year in adavcned analytics tools skillset – at 11.1L. R have defeated SAS, SPSS and Python in terms of average salaries this year.
  2. On an average, professionals get up to 10.3 Lacs for SAS, vs 8.7 Lacs for SPSS professionals. SAS salaries have increased by just 13% since a year ago.
  3. Python gets a higher pay of 10.5 Lacs compared to SAS and SPSS. Yet, Python is the only skill set for which the average salaries have decreased since a year ago – by almost 7%.

Salary Trends across Cities- 

• Average salaries across all cities have increased by more than 20% for analytics professionals this year.
• Pune saw the highest increase in analytics salaries by almost 30% – from 8.8L to 11.4L this year.
• Mumbai retails its spot for highest salaries in Analytics at almost 14L per annum – an increase of 22% from a year ago.
• In the 0-6 Lacs bracket, Hyderabad dominates other cities with 42% of analytics professionals earning below 6 Lacs followed closely by Pune at 39%.
• Mumbai leads the pack in more than 15L salary bracket, with 28% earning within this bracket, followed closely by Bangalore (25%) and Delhi/NCR(22%).

Salary trends across Experience levels-

• Analytics salaries saw the biggest jump at the entry level (0-3Yrs experience) last year. There was almost a 61% jump in salaries in this experience bracket – from 4.1L to 6.6L average.
• At entry level, almost 76% of analytics professionals are under the 0-6 Lacs salary bracket.
• For other experience brackets, the salary increases have been relatively lower, especially at higher experience bracket – at 12+ years experience, the salary rises in analytics have just been 4% last year.
• A transition to senior analytics leaders, with more than 12 years of experience, can lead to almost 50% increase in salaries.

Salary trends across Company Type-

• This year, Captive Analytics centers tend to be highest salary providers in analytics, at an average of 14.1L.
• They were followed by Consulting firms at 13.9L and Domestic firms at 13.6L analytics salaries on average.
• However, Boutique analytics firms continue to pay the lowest – an average of 9.5L, albeit a 20% hike from last year of 7.9 Lacs.
• Large IT service providers pay 11.4 Lacs in analytics, an increase of 20% from 9.5L.
• Domestic Indian firms have been the slowest in increasing the analytics salaries last year. They currently pay an average of 13.6L, an increase of just 13% to their analytics/ data science teams.

Conclusion-

From large enterprises, captive analytics businesses, boutique analytics or consulting firms, the demand for quality data analysts is met with a lucrative pay.  With data analytics driving all the component of an industry, the companies are open to offer more than decent pays to these rare breed of professionals. The compensations have seen a positive trajectory and have gone north in where skills are backed by experience. If you are trying to break into this field, now is the best time, especially when data analytics professionals snap 30% higher salaries than IT professionals in India

And like previous year, Hadoop, R, Spark and Python remain the most sought after tools by the employers, with a better pay package to those with advanced analytics/predictive modeling skills compared to data mining and BI tools.

Overall, the study, a great analytics find is a nudge in the right direction and will fuel hopes of making a career in analytics domain.  

Here’s the complete report

Download it here

The post Analytics India Salary Study 2017 – by AnalytixLabs & AIM appeared first on Analytics India Magazine.