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Domo > Case Studies > Do the Jerseys Matters? | How the NBA is Using Domo to Estimate Viewership
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Do the Jerseys Matters? | How the NBA is Using Domo to Estimate Viewership

Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Professional Service
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Predictive Quality Analytics
  • Real-Time Location System (RTLS)
Services
  • Data Science Services
The Challenge
The NBA, a global media company, needed to accurately estimate the viewership for every single game to make key decisions, including which games are broadcast on which networks and which games receive advanced promotion. The manual process of comparing historical data from Nielsen’s TV ratings was labor-intensive and not as accurate as needed. The NBA needed more data, and more speed and agility to put it together, so they could gain insights that would help the NBA succeed in an increasingly competitive media landscape.
About The Customer
The National Basketball Association (NBA) is a professional sports league in North America composed of 30 teams. It is one of the major professional sports leagues in the United States and Canada and is recognized by the International Basketball Federation (FIBA) as the governing body for professional basketball worldwide. The NBA is an active participant in the sports broadcasting market, with television revenues alone producing over $2 billion dollars annually. The organization's success requires accurately estimating the viewership for every single game, using that information to make key decisions, including which games are broadcast on which networks and which games receive advanced promotion.
The Solution
The NBA partnered with Domo to turn their estimated viewership processes from a manual computation to an automated pipeline that can produce instantaneous assessments of estimated viewers with a much wider set of variables. With Domo, the NBA was able to dive into a huge variety of datasets and found that the network an NBA game is shown on is an essential variable for estimating viewership. Additionally, which players are on the court is a key predictor. The NBA also worked with Domo to develop an organization-wide digital literacy that has improved decision making at all levels.
Operational Impact
  • The NBA can now make better predictions about viewership for any given game, improving the experiences of fans across the globe.
  • The process of automation has allowed the NBA to focus on new ways to improve the overall product for the global community of fans.
  • The NBA has developed a reputation as the people to go to when someone needs data because they are able to be that single source of truth, while being flexible enough to provide the data however people need it.
Quantitative Benefit
  • The NBA can now automatically estimate the viewership for each game on a given day at a given start time, a process that was previously manual for each individual game.

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