As companies balance new monetization strategies with the growing importance of being compliant with evolving data privacy and security measures, a scalable and secure data collaboration strategy is essential. Data Clean Rooms provide a governed and isolated environment where companies can share data and data assets with strategic brand partners to help them drive more effective and efficient insights and business decisions. However, constructing, maintaining, and drawing insights from Data Clean Rooms can be complex and challenging. Many offerings are not easily adaptable to the specific needs of organizations and are too rigid to quickly onboard partners. That’s where Databricks and Habu come in.
In this webinar, we will deep dive into the best practices around constructing and maintaining interoperable, multi-party Data Clean Rooms with support for arbitrary compute. With Habu and Databricks, data teams and product owners can build Data Clean Rooms that are accessible for ad operation teams, allowing them to easily scale to meet business needs. In addition, Databricks and Habu provide greater flexibility for data product teams - any programming language, support for ML, and the ability to use open source and third-party privacy-enhancing technologies - improving agility and reducing the total cost of ownership.
Join us to learn:
- How data collaboration allows brand partners to drive more effective and efficient insights in privacy-safe ways
- The critical role of a data clean room in a data collaboration strategy
- Use cases and commercialization strategies where companies can start before scaling
- How companies are unlocking new monetization and partnership opportunities with Habu's open source framework to participate
- How partner brands can extract valuable insights about their audiences to drive use cases spanning advertising campaigns, gaining a 360* customer view, detecting fraud, identifying new market opportunities, and more