Connecting the Dots: How TransUnion and Snowflake are Transforming Data Orchestration and Results

As lenders across financial services invest more in AI, analytics and personalization, the return on those investments depends largely on their abilities to bring together disparate data sources and deliver a more holistic view of each consumer. Disconnected customer records, fragmented data sources and inconsistent identity resolution make this a pressing challenge, creating blind spots that limit model performance, marketing effectiveness and customer experience. It’s time for change.  

In this session, attendees will hear about real-world scenarios where TransUnion and Snowflake enabled lenders to link first-, second- and third-party data, unifying their view of consumers and accelerating time to insights, actions and meaningful outcomes.  

Lenders will learn how to:  

• Rethink data orchestration and movement  
• Resolve fragmented identity data using TransUnion and Snowflake  
• Improve AI and analytics outcomes with modern data-sharing approaches  
• Drive more effective marketing, risk and customer engagement strategies