“ Data clean rooms are one of the best ways of doing data sharing without revealing sensitive and proprietary information ”
FAWAD QURESHI INDUSTRY FIELD CTO , SNOWFLAKE
Collaboration and data cleanrooms According to Snowflake , fast , streamlined access to relevant data is key to successful business outcomes . However , many organisations struggle to share data – internally between teams and externally with partners , vendors , and customers . Data collaboration has the power to improve the quality of analytics programs and even create new product offerings .
Sharing data while adhering to privacy regulations has always been challenging . But , by using distributed data clean rooms , it ’ s now possible to collaborate with data in a secure manner that aligns with privacy rules . Data clean rooms allow organisations to manage data effectively , deidentify it , and share it .
“ I often describe a data clean room as an escrow account for data sharing ,” Qureshi comments . “ It ’ s a middle account . Both parties share the data and control what you can do with that data .”
In 1982 , computer scientist Andrew Yao proposed Yao ’ s Millionaires ’ Problem : a secure multi-party computation problem which discusses two millionaires who are interested in knowing which of them is richer without revealing their actual wealth .
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