Freddie Mac creates a one-stop-shop for data

Freddie Mac (5,000+ employees) had data scattered across Cobol mainframes, relational and star-schema warehouses/marts, and Hadoop platforms, with business glossaries living only in Excel and data consumers struggling to find what they needed. It placed Collibra in front of its data-lake onboarding process as a universal metadata repository, aligning business objectives with data strategy, building a cloud onboarding workflow, and integrating with Okera (access management) and Snowflake, plus a custom intake workflow to classify and validate datasets for cloud provisioning. The result is a business glossary now used by over 2,000 Freddie Mac data users across computers and mobile devices, supporting a company that helped 480,000 first-time homebuyers in 2019; Vikram Chopra called it "truly a transformation...in how we think of data at Freddie Mac."

Collibra is a data-governance and catalog platform used to keep data trustworthy, traceable and compliant enough to support an AI initiative.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.