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DATA CLEAN ROOM FOR FINANCIAL SERVICES

Access, join, and query sensitive data across multiple banks or between business lines of a single company while enabling compliance with data privacy laws.

Mobilizing sensitive data across financial services teams and organizations is challenging. Data privacy laws and compliance considerations limit what can be shared, impacting how financial services firms are able to generate insight, collaborate, or manage risk. 
With Snowflake, companies can share and query against data, including customer information, with better security and control. Data Clean Room functionality available through Snowflake enables rapid sharing, secure multi-party joining, and restricted querying of customer information, without exposing the underlying proprietary data belonging to each party. 
This enables financial services organizations to collaborate across the ecosystem, partner with fintechs to build innovative solutions, streamline fraud detection and anti-money laundering (AML) compliance, and better meet evolving customers expectations for their digital banking experience.

DATA CLEAN ROOM USE CASES

Fraud Detection

Securely access and match customer information with third-party transactions, payment, or geospatial data to detect fraudulent transactions or claims.

Customer 360

Provide customers with an integrated digital experience by connecting and collaborating with other banking and fintech partners.

Targeted Marketing

Measure marketing performance and acquire new customers by securely sharing first-party data with marketing and media activation partners.

Why Snowflake?

Secure data sharing technology

Access, match, and collaborate using customer data without revealing PII or compromising privacy.

Highest standards of governance

Secure and governed access to live, ready-to-query data that remains in your environment

Enable Data Science

Validate query requests and incorporate ML to power use cases like customer 360 and fraud detection.

HOW SNOWFLAKE HELPS

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