Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 4)

Sramana Mitra: Who are your top three clients in the BI/big data domain, who are really pushing the envelope on cutting-edge technology?

K. R. Sanjiv: I will not be able to name customers, but let me throw some color on this. Historically, over the last 10 years, the big consumers of analytics have been retail customers and retail banking customers, followed by telcos. But what we have clearly seen over the past two years is the expansion into industries which were typically not using these types of services – manufacturing, the pharmaceutical industry, etc. >>>

Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 3)

Sramana Mitra: Let’s double down on how a data warehouse becomes an information warehouse, given what you are seeing.

K. R. Sanjiv: Data itself is of limited value. Today the focus of an organization is to assimilate all the data and have data that is reliable, comprehensive, and consistent so that it can be used across [areas]. >>>

Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 2)

Sramana Mitra: It is definitely not a volume game. This kind of volume is well within the capacity of data analysis. This has been around for a while. So why do you categorize it as a big data problem, and what is it that you are specifically doing in those circumstances? >>>

Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 1)

K. R. Sanjiv is the senior vice president of analytics and information management services at Wipro, a global IT, consulting and outsourcing company that provides services to companies by leveraging their data. In this interview Sanjiv defines the term big data and shares his opinion on what the future of big data will look like.

Sramana Mitra: Sanjiv, tell us a bit about your role at Wipro and what the company is doing in the field of big data. >>>

Thought Leaders in Big Data: Interview with Matti Aksela, VP of Analytics at Comptel (Part 5)

Sramana Mitra: How mature is your learning model at this point?

Matti Aksela: In the sense that the extract was working on predictive analytics solutions for 10 years prior to being acquired. The first release of the social links product was in 2006 or 2007. >>>

Thought Leaders in Big Data: Interview with Matti Aksela, VP of Analytics at Comptel (Part 4)

Sramana Mitra: I fully understand the information of who called whom, for example, is also proprietary information for the carrier and the carrier can do whatever they want with it. That is not exactly social network behavior. It is more about information about transactions happening within the customer base. What does that tell you? What correlations are you drawing there? >>>

Thought Leaders in Big Data: Interview with Matti Aksela, VP of Analytics at Comptel (Part 3)

Sramana Mitra: Are real customers using this product?

Matti Aksela: Yes, there are customers using this. One of them is from Bangladesh, and they announced they are going into production right now, for example. >>>

Thought Leaders in Big Data: Interview with Matti Aksela, VP of Analytics at Comptel (Part 2)

Sramana Mitra: Let’s double click down into that field. I would like to hear three use cases of customers, where you use these kinds of predictive analytics to solve problems or achieve meaningful business goals.

Matti Aksela: We can start with one of the most traditional use cases in the mobile operator space – finding ways to predict and prevent. We had been doing solutions on churn prevention and churn prediction already. One of the things we added from an analytics view point is that we are trying to utilize all of the information operators have, take all that information and get valuable insights out of it, then use that to fuel predictive analytics and reach the best possible prediction accuracy. >>>