Decision-ready financial health dashboard with 12 KPIs, norm bands, and risk flags (2021-2023)
This reproducible Power BI report demonstrates a transparent approach to financial health monitoring. All metrics are defined up front; norms and thresholds are stated on the page; and every figure can be traced to a documented source table. Data is anonymised and time-boxed to avoid any client-identifying detail. The layout mirrors the Python prototype so that numbers match across tools. The project is designed for auditability : a consistent status colour (hex) scale, clear labelling, and a concise methodology page show exactly how each KPI is derived. The result is a practical, review-ready dashboard rather than a design exercise.
Who this is for: Executive leadership and finance leads; licensed insolvency practitioners (administrators, liquidators, CVA supervisors); and restructuring and turnaround advisers.
Bar/column charts use a consistent status colour (hex) to encode KPI health - above norm , at norm , or below norm - providing an instant, visual read on a company's condition. Where needed, the logic is implemented with DAX measures and Deneb (Vega-Lite JSON) to keep the encoding reproducible across visuals. The same mapping drives badges, legend dots and bars , so one glance gives a consistent judgement across pages and years. Soft norm bands keep neutral states neutral while still surfacing genuine outliers.
| Variant | Intent | Where to use |
|---|---|---|
| v1 - rounded cards | Web/presentation look with soft background | On-screen portfolio |
| v2 - flat, print-friendly | Same numbers; flat skin for clean Word crops | Word 3.2 Analysis of liquidity ratios |
For a similar implementation in Python (data processing + Word/Excel reporting), see: live page · repository
The two screenshots below show the same report in both skins (v1 web, v2 print-friendly).
grp__KPI__SubKPI__Measure
fin-health.pbix
and open in Power BI Desktop
This portfolio case uses anonymised sample data. No client-identifying information is included.
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