Professional sports organizations now receive tens of millions of skeletal tracking data points per game from systems like Hawk-Eye SkeleTRACK, but most lack the platform to turn that data into actionable decisions. Databricks outlines how its Data Intelligence Platform serves as a unified lakehouse for ingesting, organizing, governing, and serving tracking, wearable, medical, and video data across sports. Key use cases include proactive injury prevention by combining biomechanical signals with workload history, real-time in-game decision support via natural language queries and courtside apps, and new fan engagement formats like animated broadcasts built on skeletal data. The architecture follows a medallion pattern (Bronze/Silver/Gold), uses Unity Catalog for governance and lineage, Lakebase for sub-second serving, and Genie for natural language access by non-technical staff.