Choosing the right data clean room requires careful evaluation of privacy, security, and control. A key question is whether the clean room is decentralized, meaning data remains separate and secure at all times, with matching performed without centralizing or sharing personal data. This reduces the risk of leakage or misuse. Another critical consideration is whether collaboration partners can learn anything directly from your data through querying or activation. A truly secure data clean room prevents partners from identifying individuals or extracting unintended insights, ensuring full protection of data ownership and privacy throughout collaboration.

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