Today’s consumers expect more from their content providers and can quickly tune out if expectations are not met. To ensure engagement and loyalty, Showtime wanted to leverage data to drive content strategy, but they struggled with scaling limitations of legacy systems and inefficient data pipelines. With the Databricks Lakehouse Platform, they now have an actionable view into the consumer journey to inform programming and content with the goal of increasing engagement while lowering churn.
The Data Strategy team at Showtime is focused on democratizing data and analytics across the organization. They collect huge volumes of subscriber data (e.g. shows watched, time of day, devices used, subscription history, etc) and use machine learning to predict subscriber behavior and improve scheduling and programming. Unfortunately, legacy technology architectures were pulling teams away from high-value data science activities.
The Databricks Lakehouse Platform provides Showtime with a fully managed service that has greatly simplified data engineering and improved the productivity of their data science teams. Now they are able to tap into the insights within their rich pool of data to uncover opportunities to drive viewer engagement and reduce churn.
Databricks has helped Showtime democratize data and machine learning across the organization, creating a more data-driven culture.
Being on the Databricks platform has allowed a team of exclusively data scientists to make huge strides in setting aside all those configuration headaches that we were faced with. It’s dramatically improved our productivity.”
– Josh McNutt, Senior Vice President of Data Strategy and Consumer Analytics, Showtime
Technical Talk at Spark + AI Summit EU 2019