Case Study: Ellie Mae achieves data monetization and lower infrastructure costs with Persistent Systems

Data stack modernization to deliver data monetization at Ellie Mae

Ellie Mae, a cloud-based platform provider for the mortgage finance industry, wanted to move beyond transactional support and give customers more valuable insights. Persistent Systems helped address challenges with an on-prem architecture that made requirements hard to express, data pipeline performance issues as volume grew, and limited flexibility to build new solutions on demand.

Persistent Systems modernized the data stack by moving Ellie Mae to AWS and Snowflake, creating a secure, compliant cloud database with customer-wise data separation and curated, encrypted data from all lenders. The solution also delivered privacy-scrubbed benchmarks and peer insights, resulting in a 40% reduction in infrastructure costs, shorter loan closing times, better opportunity spotting, improved data reliability, and new revenue streams.

Ellie Mae