Case Study: Showtime achieves 6x faster data pipelines and data-driven content programming with Databricks

Showtime - Customer Case Study

Showtime, the premium TV network and streaming service, needed to turn large volumes of subscriber data into actionable insights to inform programming and reduce churn. Legacy infrastructure and manual, error-prone machine learning pipelines limited scalability and slowed time-to-market for new features and models.

By adopting Databricks’ unified data analytics platform—with fully managed, serverless infrastructure, a collaborative workspace, and MLflow to streamline the ML lifecycle—Showtime sped up analytics and freed data scientists from ops overhead. Results included a 6x faster pipeline runtime (from >24 hours to <4 hours), higher data science productivity, quicker model deployment, and more personalized programming that drives engagement and reduces churn.

Showtime

Josh McNutt

Senior Vice President of Data Strategy and Consumer Analytics