Databricks

Enabled real-time processing of petabytes of video stream data for live player analytics and personalized fan experiences, while establishing a scalable foundation to expand these data-driven capabilities to sports organizations globally at a fraction of traditional cost and complexity.

110% faster querying at 10% of the ingestion cost and 5 billion daily events available for analytics in under 15 minutes instead of 4 hours.

Eliminated data silos and established a cross-company data analytics platform.

Scaled to hundreds of autonomous use cases across the organization while democratizing data access, enabling autonomous teams to build self-service analytics and AI-powered applications including stock shortage prediction.

Inventory prediction models now run in hours instead of days, significantly improving stocking practices and delivering substantial annual cost savings.

Reduced genomic variant processing from 2 weeks to 15 minutes and discovered 2 new drug targets for neurodegenerative diseases like Alzheimer's and Parkinson's.

Streamlined governance of 15-20 petabytes of data, reduced data ownership issues, enhanced data lineage and compliance visibility, and improved operational efficiency through centralized data management and security controls.

Order of magnitude improvement in performance and accelerated time-to-market for novel drugs through faster data processing and insights extraction from millions of data points across thousands of sources.

$10M in operational savings from improved cash-back incentives, 50% reduction in analytics platform costs, and 25% increase in self-service analytics adoption.