Engagement overview
HBF, one of Australia’s largest not-for-profit health insurers, set out to strengthen its analytics foundation to support enterprise reporting and decision-making more effectively. With close to one million members and a broad portfolio of insurance products, its data environment evolved, with multiple data marts and varying levels of consistency in data models.
Working alongside HBF’s teams, TO THE NEW supported the modernization of its legacy data architecture using Snowflake and structured data modeling practices. The initiative focused on simplifying the existing data landscape, introducing clearer data lineage and validation processes, and creating a more reliable analytics foundation. As a result, HBF gained improved scalability, more consistent reporting, and greater access to self-service insights through Tableau.
Our client
HBF is Western Australia’s largest not-for-profit health insurer and has supported the health and well-being of Australians since 1941. It offers health, life, and general insurance products along with additional member services. HBF has expanded to become Australia's second largest not-for-profit health fund, providing hospital and ancillary insurance to more than 1.2 million members nationwide. HBF is committed to actively connecting with and supporting the communities in which it operates as a trusted member-based organization.
Business solution
A structured data modeling and validation approach was introduced to support a more unified analytics environment.
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Reverse-engineered existing data marts and documented data lineage
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Built a proof of concept for a data validation framework
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Supported compliance readiness through advisory and reporting reviews
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Simplified redundant data marts to improve consistency
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Defined a common data model aligned with Snowflake best practices
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Established governed datasets to support reliable reporting and analytics
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