How to Use Hadoop to Predict & Prevent Customer Churn

Wednesday, April 29, 2015  •  10am – 11am PDT

For telecommunications service providers, success is increasingly a function of reducing customer churn.

Retention of the highest-value customer segments has historically been a lagging indicator. However, with more complete data and deeper understanding of the consumer, some telcos have developed predictive capabilities to identify at-risk customers and proactively prevent them from churning to a competitor.

Join hosts from Cloudera, Trifacta, and Zoomdata as we demonstrate how an enriched view of better data from more sources can help telcos reduce churn. You will learn:

  • How a 360-degree customer view drives new opportunity and competitive advantage for service providers like SFR, BT, and Comcast.
  • Why data analysts are turning to an enterprise data hub to get a clearer view of the factors that may contribute to telco customer churn.
  • What a big data strategy based on Hadoop requires, from data security to full governance and enterprise systems management.
  • How data analysts can directly access, transform, and derive insight from data of any shape and size through self-service.


Ryan Goldman | Cloudera
Director of Vertical Marketing

Russ Cosentino | Zoomdata
Vice President of Channel Sales

Will Davis | Trifacta
Senior Manager of Product Marketing

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