Chief Data Scientist
Jan Romportl is chief data scientist at O2 Czech Republic where he helped build the data science team with a strong focus on machine learning from telco big data. He is also involved in the startup scene as a chief science officer. Jan has more than 10 years of academic research and teaching experience in AI, man-machine interaction, speech technologies and philosophy.
O2 Czech has created an advanced neural network, applying deep learning techniques to personalize the customer experience, scaling to 8M mobile subscribers across the Czech Republic and Slovakia.
Every phone emits two types of distinct data patterns which can be used to better understand the context of its users – Cell_IDs and SIM Card_IDs. Cell_IDs are cell tower IDs and call routes that emit geolocation data which can determine the optimal sequence of calls in an effort to reduce dropped calls, busy signals, and other call quality concerns. These Cell_IDs are dynamic, changing based on a given location. A SIM Card_ID is unique to the individual SIM card within the device. Think of your SIM Card_ID as a uniquely identifiable feature to you. While Cell_IDs are dynamic, a SIM Card_ID is permanent. You only get one. This ID, when paired with your customer account profile data, depicts your relevant data such as cellphone type, mobile usage, call patterns, gender, demographics, and other account-related data points.
O2 Czech recently participated in a Teradata Business Value Realization engagement.
Together, O2 Czech and Teradata identified 1.6B Kč ($70M USD) of revenue benefit for their customer experience efforts using Teradata for their data analytics. The four-year, fully realized Teradata solution applies data analytics for customer churn, new customer acquisition, campaign effectiveness, and upselling. In 2019 alone, 654M Kč ($28M USD) in revenues were identified as business value realized from data analytics on Teradata.
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