Case Studies / Power BI · Lending

A 94-measure Power BI model for a lender's loan book

A documented Power BI semantic model covering 12 business themes for a New Zealand lender's loan-book analytics.

94base measures
12business themes
38tables
59relationships

The challenge

The lender needed reliable loan-book analytics that their team could build on and trust, with clear rules for how every number is calculated.

What we built

  • A Power BI semantic model with 94 base measures across 12 business themes
  • 38 tables and 59 relationships, organised so reports stay fast and consistent
  • Calculation groups to avoid duplicating time-intelligence and variance logic
  • A 24-page technical document covering how the model works, governance risks and data lineage

The result

The lender has one trusted source for loan-book reporting, and documentation that lets their own team and auditors understand exactly where each number comes from.

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