Thought Leaders in Big Data: Mikko Jarva, CTO of Comptel (Part 3)

Mikko Jarva: There is a prediction that in 2016, the world won’t have enough data storage space to store all the data that is currently being generated. Some of the challenges that we need to think about also is how we manage that data and what do we do with it. Third challenge that we see

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Thought Leaders in Big Data: Mikko Jarva, CTO of Comptel (Part 2)

Sramana Mitra: When you say you want to monetize the data that you have, what does that mean? I can understand what kind of data your clients have. Are you saying that your clients are already collecting a certain level of data on your system that you have not yet built applications on top of?

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Thought Leaders in Big Data: Mikko Jarva, CTO of Comptel (Part 1)

Here, we discuss Big Data in the telecom industry. Sramana Mitra: Why don’t we start with some introduction about yourself as well as your company? Mikko Jarva: I represent Comptel Intelligence Data business unit as the CTO. Comptel is almost 30 years old. We are traditionally a provider of telco IT. We have launched a

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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

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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

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Thought Leaders in Big Data: Interview with Matti Aksela, VP of Analytics at Comptel (Part 1)

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

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