Case Study: Fannie Mae achieves faster data insights and compliance with Hitachi Vantara Pentaho Data Catalog

Fannie Mae Automates Data Lake Design Process To Accelerate Insight

Fannie Mae, a leading U.S. financial services company, needed to make millions of mission-critical data files rapidly available to business analysts while improving compliance and reducing manual effort. To solve this challenge, Fannie Mae turned to Hitachi Vantara’s Pentaho Data Catalog to modernize its enterprise data lake and speed up data access.

With Hitachi Vantara’s Pentaho Data Catalog, Fannie Mae automated profiling, tagging, and pre-registration of data using AI and machine learning, while also enabling metadata versioning and sensitive data detection. The result was faster data delivery, improved anomaly detection and data quality, better governance and compliance, and automated processing of more than 10 million files per day across its cloud-based data environment.

Fannie Mae

Scott Richardson

Chief Data Officer