Case Study: theScore achieves rapid, company-wide self-service analytics and faster data-driven decisions with Sisense

Putting Data Discoveries to Use at theScore

theScore is a leading North American sports app with millions of users that provides real-time scores, stats and news. The company needed an easier way to share data across product, sales and editorial teams—especially with non-technical staff—and wanted to avoid slow, costly analytics setups that left the analytics team creating routine dashboards instead of doing deeper work.

By adopting Sisense’s self-service analytics, theScore empowered non-technical users to explore data, freeing the analytics team to build machine‑learning models (including campaign-prediction algorithms) and focus on complex analysis. The result was faster, hypothesis-driven decision making, a stronger experimentation culture, clearer campaign forecasting and improved product and content outcomes that drive user engagement and growth.

theScore

Darren Kritzer

Managing Editor