Unlocking TV Viewership Insights: Privacy-Compliant Data Sharing with Clean Rooms
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Sharing and Collaboration |
Industry | Enterprise Technology, Media and Entertainment |
Technologies | Databricks Workflows, Delta Sharing, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
Delivering TV viewership data while balancing customer needs and privacy compliance is a complex challenge. After evaluating multiple solutions, FreeWheel, a Comcast company, selected Databricks Clean Rooms for their ability to programmatically enforce k-anonymization constraints and differential privacy, enabling secure and flexible data exploration.
Unlike other solutions that require rigid templates and manual approvals, Clean Rooms gives FreeWheel's customers the freedom to run custom SQL queries while automatically excluding non-compliant data. With Clean Rooms, FreeWheel has streamlined workflows, simplified data management and unlocked new opportunities to monetize its data. The solution supports diverse and complex workloads with high performance and security, making it ideal for current needs and adaptable to future use cases
Join this session to learn how FreeWheel is leveraging Clean Rooms to revolutionize TV viewership data sharing — enabling secure collaboration, improving efficiency and driving innovation in data monetization.
Session Speakers
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Richard Sharrott
/Software Engineering Manager
FreeWheel, A Comcast Company
Johanna Hughes
/Solution Architect
Databricks