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Telco Location Data Monetization

Case Study

Background

Telecommunications companies’ day-to-day business activities produce massive and unique anonymized data sourced from mobile devices in the hands and pockets of end-users. Our client, a global player in the telco industry, had traditionally used this data to optimize their network and operations, but as modern data platform capabilities made it easier to monetize data for extra revenue, they began taking exploratory steps in this direction. The company had relied on HCLTech Starschema as a trusted partner for a variety of projects, including their agile transformation, and once again reached out for help.

Practice Areas

  • Data Visualization
  • Data Science
  • Data Engineering

Business Impact

  • New revenue stream that became profitable in two years
  • Optimized data management

Challenges

  • Lack of data monetization strategy
  • Lack of relevant toolset and methodology
  • Need for quick ROI

Technologies

  • Power BI
  • Python
  • Spark
  • Impala
  • PySpark
  • Scala
  • Hive
  • GeoSpark
  • Mapbox
  • Kepler GL
  • QGIS
Telco Location Data Monetization

Challenge

Telco Location Data Monetization

Solution

Telco Location Data Monetization

Outcome

Ask the Expert

Benedek Toth

Data Scientist

Benedek extracts actionable insights from structured and unstructured data. His background is in statistics and economics, and he has previously worked at a business consulting firm researching financial technologies. At Starschema, he has developed time series and content recommendation models for enterprises in various industries and helped a major telecommunications company in transforming their location data to marketable analytics services.

Tóth Benedek