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 new product called Nexterday. Nexterday takes us beyond software and also helps us in telco to move from Big Data towards intelligent data, and move from traditional buying experience towards digital buying experience, and help monetize more.
Sramana Mitra: When you say you represent Comptel’s intelligence work, what does that work entail? What do you do? What kind of Big Data work does Comptel do?
Mikko Jarva: We have two business units. One is called intelligent data and the other one is service orchestration. We combine Comptel assets in data processing and analytics into one whole portfolio. Comptel in the telco space has a data integration solution which currently processes 20% of mobile data usage generated in the mobile networks. We already have an existing Big Data proposition available. What we are looking to do is leverage that for the monetization of telco traffic and telco data.
Sramana Mitra: What are the use cases? What kind of applications are you looking to do on top of this data?
Mikko Jarva: Telcos use data and charge for services like messaging. What we see in telco in terms of their revenue trend is it’s in decline. We need to provide solutions to monetize their data. It’s going beyond charging for services and monetizing the data. The monetizing of data in telco can be done through providing solutions that improve the customer experience so that there is a better utilization of telco services and recommendation of the end users to use better services.
Another important aspect is third-party monetization of telco data. Telcos, while very traditional, have a very holistic picture of the end users. They know their journey from the beginning and they understand what kind of services they use. Compared to application services, they only have a snapshot of the customers when they use their applications. At the same time, they haven’t been very agile or advanced in monetizing or using that data to their benefit. Essentially, what we are trying to do is help them use data to monetize.