This IDC study evaluates data clean room technologies for any use case. Data clean room technologies help protect the privacy of data and the analyses that data collaborators utilize to gain insight. The promise is that enterprises can share and collaborate on data in a privacy-preserving way that can still provide valuable guidance. This software systematizes and subsumes prior services of data sharing from a practice that relies solely on trust and checking behavior against contracts and agreements to a solution that can facilitate simple and complex arrangements in a privacy-preserving manner technologically.
“Data clean rooms technologies provide important capabilities, not available with the simple exchange of data, that enterprises require to create shared data and insight across a broad set of use cases that previously had to be done either with less data or via a trusted neutral third party,” said Lynne Schneider, research director of Data as a Service and Data Marketplaces at IDC. “In the face of increasing privacy regulation, technological changes, and advances in privacy-preserving computation, these solutions are moving from theory to something that is practical.”
