BigQuery data clean rooms
Create your own data clean room in BigQuery in a few clicks.
Overview
What is a data clean room?
Why do organizations need a data clean room?
How to select a data clean room that is right for you?
What makes BigQuery data clean rooms different?
How is customer data protected with data clean rooms?
How It Works
BigQuery data clean rooms allow you to create a low-trust environment for you and your partners to collaborate without copying or moving the underlying data. You can perform privacy-enhancing transformations in BigQuery SQL interfaces, and monitor usage to detect privacy threats on shared data.
Common Uses
Publishers and advertisers
Privacy-preserving data sharing and media optimization
Data clean rooms will make it easier for
publishers to share with advertisers valuable data
that can help optimize advertising effectiveness.
Advertisers can use data clean rooms to target ads
more effectively, and publishers can use them to
measure effectiveness and provide better insights
to their customers. For example, an advertiser
that is buying display media can join ad
performance to purchase data to understand media
effectiveness and allocate media dollars to
best-performing networks.
Retailers and consumer packaged goods
Bridging the data gap with first-party data
Retailers that sell consumer packaged goods (CPG)
products have massive amounts of transaction data,
which is valuable for CPG companies that often
don't have sales data to show the full customer
journey. By combining retailer sales data with CPG
first-party data, large brands and manufacturers
can allow for improved campaign targeting and
segmentation to improve sales. Retailers can also
monetize customer data while retaining ownership
and customer privacy.
Internal data sharing
Gain insights across your organization
Organizations with distributed teams can use data
clean rooms to power internal data sharing in a
privacy-centric manner. Example use cases include
working with sensitive employee/HR data or working
with sensitive health data.