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    Data Clean Room

    Data integration & searchDCRSecure data collaboration environment
    Editorially reviewed on: 1 source
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    The short answer · 23 words

    In short

    A Data Clean Room enables several parties to evaluate common data in a controlled manner without freely exchanging raw data with each other.

    Flow-alerta.cab (2026): Data Clean Room. https://flow-alerta.cab/en/glossar/data-clean-room. Editorially reviewed on: 10 October 2026.

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    Practical

    Data Clean Rooms support collaborations where sensitive customer or event data is not to be shared uncontrollably. They can reduce risks, but do not replace the legal basis or data protection impact assessment and do not guarantee anonymity.

    A merchant and a manufacturer measure campaign impact over shared aggregations without getting each other’s complete customer lists.

    Companies define purpose, legal basis, roles, permitted queries, minimum group sizes, logging and deletion. For SMEs, a clearly limited pilot with data protection and security check is often useful.

    At a glance

    Core
    A Data Clean Room is a technically and organizationally controlled environment for data matching and analysis. Access, use and output rules limit who is allowed to see which data or results. The concrete architecture can use pseudonymization, aggregation or privacy-enhancing technologies, among other things.
    Use
    Data Clean Rooms support collaborations where sensitive customer or event data is not to be shared uncontrollably. They can reduce risks, but do not replace the legal basis or data protection impact assessment and do not guarantee anonymity.
    Example
    A merchant and a manufacturer measure campaign impact over shared aggregations without getting each other’s complete customer lists.
    Limits
    “Clean” is not understood as a data protection guarantee. Re-identification risks, small result groups, uncertain join keys, overly broad queries, lack of purpose limitation and unclear deletion rules must be checked.

    Questions about this term

    Who sees raw data?

    This depends on the model; accesses must be expressly limited.

    Are the results anonymous?

    Not automatically.

    Do we need treaties and a legal basis?

    Yes, technical controls do not replace them.

    All details and background

    A Data Clean Room is a technically and organizationally controlled environment for data matching and analysis. Access, use and output rules limit who is allowed to see which data or results. The concrete architecture can use pseudonymization, aggregation or privacy-enhancing technologies, among other things.

    ELI5 – Explained simply

    Two companies do not simply put data on the table, but only ask permitted questions in a monitored room and get limited results.

    Why it matters in practice

    Data Clean Rooms support collaborations where sensitive customer or event data is not to be shared uncontrollably. They can reduce risks, but do not replace the legal basis or data protection impact assessment and do not guarantee anonymity.

    Example

    A merchant and a manufacturer measure campaign impact over shared aggregations without getting each other’s complete customer lists.

    Pitfalls and limits

    • “Clean” is not understood as a data protection guarantee. Re-identification risks, small result groups, uncertain join keys, overly broad queries, lack of purpose limitation and unclear deletion rules must be checked.

    Origin & history

    IAB Tech Lab publishes guidance and technical guidance on controlled collaboration in Data Clean Rooms, including appropriate usage and outcome restrictions.

    Use in mid-sized companies

    • Companies define purpose, legal basis, roles, permitted queries, minimum group sizes, logging and deletion. For SMEs, a clearly limited pilot with data protection and security check is often useful.

    Related terms

    • Privacy-enhancing technologies
    • Pseudonymisation
    • Data collaboration
    • Access control
    • Differential privacy

    Matching Flow-alerta service

    AI assistants & automationData and AI governance as well as integration consulting: designing collaborative purposes, data flows, roles, control rules and risk assessment.

    Matching tool / use case

    View use casesAWS Clean Rooms or BigQuery Data Clean Rooms as implementation examples; Use Case: data protection-conscious reach or attribution analysis between partners.

    Sources

    • iabtechlab.comIAB Tech Lab, „Data Clean Rooms Guidance“ (Abruf 04.10.2026)

    Quellenprüfung: 10.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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