Experian expands Snowflake partnership to deliver trusted, AI-ready data inside the Data Cloud

We’re expanding our partnership with Snowflake to help organizations improve data quality directly inside Snowflake’s AI Data Cloud, without moving their data. 

Since joining the Snowflake Partner Network, and connecting with more than 12,000 Snowflake customers globally, we’ve continued advancing how Aperture Data Studio works within the Snowflake environment. With pushdown processing, teams can profile, validate, and transform data where it already resides, maintaining security, performance, and control. 

As Tanj Jagpal, Head of Strategic Alliances at Experian, explains: “This partnership is about building a trusted data foundation that helps businesses innovate responsibly and move faster with confidence.” 

Running data quality workflows directly in Snowflake helps organizations: 

• Lower costs and complexity by minimizing data transfer and avoiding additional processing infrastructure
• Improve speed to insight by producing reliable, AI-ready data in minutes instead of hours
• Increase team productivity with no-code/low-code workflows that reduce engineering lift

Customers can now also monitor pushdown usage directly within their Snowflake dashboard, giving teams clearer visibility into consumption and spend. 

Brian Hartnett, Regional Sales Manager at Experian, adds: “What we hear from customers is that they don’t want more tools or more complexity. They just want their data to work where they already work. By bringing our data quality capabilities directly into Snowflake, we’re helping them spend less time fixing data and more time using it to move their business forward.”  

We’re continuing to invest in this collaboration, including the development of a host of native applications to allow Snowflake users to leverage more Experian’s solutions where their data lives. Together, we’re helping organizations strengthen governance and data quality inside Snowflake so their data is ready for analytics, AI, and growth.