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.
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
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.
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
Matti Aksela is the vice president of Analytics at Comptel, a company that recently acquired Xtract, which provides Advanced Analytics solutions powered by Social Intelligence. In this interview Matti talks about the processes involved at Comptel that drive insights from mobile network data and how this affects consumer experience. Sramana Mitra: Matti, let’s start by