Case Study: Freddie Mac more than doubles analytics productivity to advance affordable housing with DataRobot

Freddie Mac Advances Affordable Housing Goals and More than Doubles Analytics Productivity with AI

Freddie Mac needed to scale analytics across 100,000+ customers and nearly four terabytes of structured and unstructured data, but found traditional BI and manual practices couldn’t keep up. The organization engaged DataRobot — using its AI Foundation, Predictive AI and AI Governance capabilities — to automate predictive analytics and extract insights more quickly and accurately.

DataRobot automated the end-to-end ML lifecycle from data ingestion to model management and governance, enabling Freddie Mac to move proofs of concept 2–10× faster, save 1,700+ hours per analytics project, and achieve a 2.7× productivity gain that shortened development from months to days. With one‑click explainability reports and support for an AI Center of Excellence, DataRobot helped accelerate time to market, improve decision-making, and advance Freddie Mac’s affordable housing mission.

Freddie Mac

Aravind Jagannathan

Chief Data Officer