“Databricks has made what was previously impossible extremely easy. Now we can put the power of data into the hands of leagues everywhere to deliver sporting analytics and experiences like no other.”
LALIGA is changing the world of sports and entertainment. Through the use of real-time streaming data generated by hundreds of cameras across stadiums, teams have access to unprecedented levels of actionable insights — revolutionizing the way the game is coached, played and enjoyed. It’s all made possible with the Databricks Data Intelligence Platform, which processes petabytes of video stream data to help analyze in-game information. With Databricks, LALIGA can provide insights that help players get better at their game and deliver personalized fan experiences. After spearheading innovation within their football league, LALIGA has now become a data and AI company by offering these capabilities to sports teams around the world through the new entity, LALIGA Tech.
Bringing real-time data insights to sports
Data and analytics is rapidly becoming the cornerstone for how the sports industry operates — from gaining insights into winning strategies to delivering fan experiences that drive viewership and brand loyalty. LALIGA, one of the most-watched football leagues in the world, has been a front-runner in the adoption and use of data and AI to improve the fan experience.
Football clubs haven’t historically used data for decision-making, but LALIGA’s mission has been to change that by providing clubs with the opportunity to analyze in-game information. This helps them better understand how to get the most from their players and deliver the best experience for their passionate fanbase. With a deeper understanding of these data insights, clubs can improve match outcomes, prevent player injury and deliver the exact information that fans crave to drive team loyalty and revenue.
LALIGA is rich with digital assets captured by hundreds of high-performance HD cameras embedded throughout their stadiums. These cameras capture 300,000 frames of in-game action per match, including all player and ball movement, generating petabytes of information on a daily basis. In the face of harnessing massive amounts of structured and unstructured data, LALIGA struggled to efficiently ingest the volumes of live-action data and extract insights that business stakeholders could understand and put into action.