Case Study: NBA improves viewership estimation and fan decisions with Domo

NBA automates viewership estimates across 30 teams with Domo

The National Basketball Association (NBA) faced the challenge of manually estimating game viewership, a labor-intensive process that lacked accuracy and agility. Their team struggled to incorporate a wide variety of data variables to predict how factors like team performance, player injuries, and network placement would impact audience size. To modernize this process, the NBA partnered with Domo to use its data science and analytics platform.

With Domo, the NBA automated its viewership estimation process, creating a model that instantly analyzes numerous variables, including superstar player availability and team win streaks. This solution provided the organization with a single source of truth and improved data literacy, enabling faster, more accurate decision-making. The partnership with Domo resulted in significant time savings, increased predictive accuracy, and the agility to optimize the game schedule for a better global fan experience.

NBA