Case Study

Viewer Analytics

Global Telecommunications Company Analyzes 168 Billion Subscriber Interactions to Deliver Personalized Content

A Global Fortune 50 Telecommunications Provider wanted to analyze television viewership data from millions of subscribers to improve their experiences and deliver more value to their customers.

Since the size of their data was extremely large, BI queries on their Big Data platform were taking very long. This made it extremely difficult to analyze data to get insights and power their marketing decisions.

This case study highlights how they used Kyvos to build a single consumable data layer for viewer analytics that delivers instant, self-service, interactive BI on 168 billion subscriber interactions.

Download this case study to learn how Kyvos enabled:

  • Interactive access to massive data with instant response times
  • Accurate trend analysis on historical data like never before
  • Self-service model that empowered users to use any BI tool as a native Hadoop BI tool