Case Study: Viacom achieves 33% reduction in video delays and streamlined reporting with Databricks' Unified Analytics Platform

A Databricks Case Study

Preview of the Viacom Case Study

Viacom - Customer Case Study

Viacom, the global media company behind brands like MTV, VH1 and Comedy Central, streams petabytes of video to millions of viewers and relies on player performance for revenue and retention. Its Media and Technology Services team faced delayed, historical-only reporting that made player failures hard to detect in real time and required time-consuming, custom report work for different users.

Viacom ran a one-month AWS proof-of-concept using Kafka, Spark and S3 to deliver one-click, real-time recommendations in as little as 30 seconds, then adopted Databricks to remove cluster management overhead and provide a unified analytics platform. The combined solution enabled self-service reporting for technical and non-technical staff, streamlined integrations with BI tools, automated resource management, and delivered measurable results: a 33% reduction in video start delays and a 7x increase in views per session.


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Viacom

Dan Morris

Senior Director of Product Analytics


Databricks

398 Case Studies