Customer Case Study: HBF Health Ltd.

HBF Health, an Australian not-for-profit insurer with over one million members, managed decades of data across multiple on-premises systems and faced inconsistent data definitions, unclear lineage/governance, and the need to balance access with security while migrating to the cloud. Head of Data & Information Management Drew Goodchild said different parts of the business measured the same key data differently. HBF implemented Alation's data catalog alongside its cloud migration, using built-in connectors for metadata capture, a data glossary standardizing terms like 'member' and 'policy,' Trust Marks to flag safe data, and lineage tracking for personal information. This increased data literacy and trust for reporting/decision-making and reduced risk through better accuracy and protection controls; Senior Information Management Specialist Dan Clements said 'data must be as close to 100% accurate as we can possibly get.'

Alation is a data-catalog and data-intelligence platform that tells a pharma team what data actually exists, who owns it, and whether it is trustworthy enough to support an AI use case.

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.