Case Study: Ellie Mae achieves data monetization and scalable mortgage insights with Persistent Systems and AWS

A Persistent Systems Case Study

Preview of the Ellie Mae Case Study

Ellie Mae @ AWS re:Invent – Data Monetization Journey on AWS

Ellie Mae, now part of Intercontinental Exchange’s technology division, needed to modernize its mortgage loan data architecture after relying on a private data center where each customer had its own database. This made data access clunky, slowed down the loan origination system, and limited lenders’ ability to manage, analyze, and monetize their own and industry-wide mortgage data. Persistent Systems and AWS were involved in evaluating and shaping the new cloud-based approach.

Persistent Systems helped Ellie Mae build a scalable, secure, fully managed data platform on AWS, including the Data Connect suite and the Insights product. The new solution lets lenders replicate data to their warehouses or run analytics directly in the cloud, while Insights provides near-real-time benchmarking and industry trends across a dataset covering nearly 50% of U.S. home mortgages. The result was strong customer adoption, new monetization opportunities, and a platform that scaled through record loan volumes without burdening lenders with infrastructure or security management.


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Ellie Mae

Sachin Dhoot

Vice President


Persistent Systems

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