Data clean room software is used for privacy-compliant, sensitive data collaboration. These tools enable data collaboration without data sharing. Data clean room software joins sensitive datasets for analysis and controls what happens to that data, by whom, and what results each party can extract from this analysis. All this is done without revealing sensitive source data from the underlying datasets, thus preventing data leakage. Businesses use this software to collaborate with other parties, often to augment insights from their first-party data. The most common use case is for sharing customer data sets to find overlaps for co-marketing and other advertising purposes, although the technology can be used for any sensitive data collaboration needs.
Some data clean room technologies are platform and use-case specific, while others allow external partners to collaborate. These tools often differ in where the data is processed, with some solutions enabling analysis by connecting to the data where it resides, while others provide a neutral centralized location to upload data for analysis.
To qualify for inclusion in the Data Clean Room category, a product must:
Provide secure, privacy-compliant data collaboration functionality using confidential computing methods such as secure multi-party computation