Data collaborations with partners using AWS Clean Rooms

Collaborating on shared datasets while safeguarding the underlying raw data poses a common challenge for companies and their partners. Organizations often encounter data fragmentation across various applications, channels, departments, and partner networks, leading to interoperability and scalability issues. Numerous organizations seek improved methods for managing the collection, storage, and utilization of sensitive raw data while ensuring data privacy.

However, the methods that are traditionally used to utilize data in collaboration with partners can conflict with the objective of data protection. In certain cases, these methods have necessitated companies to share copies of their data with partners and rely on contractual agreements to prevent misuse. However, customers prefer to minimize data movement to safeguard their information, prevent misuse, and mitigate the risks of data leaks. Consequently, they often opt against...