Client Context
A global finance organization standardizing executive reporting relied on ERP, data warehouse, semantic models, Power BI, and identity platform to support revenue, margin, cash, forecast, and variance reporting. The operating model handled hundreds of metrics across entities across global operations, using financial actuals, budgets, forecasts, and reference data. Similar KPIs used different filters and calculations across dashboards. Role-based access and currency views complicated manual testing.
Challenges
- Similar KPIs used different filters and calculations across dashboards.
- Role-based access and currency views complicated manual testing.
- Executives relied on ERP, data warehouse, semantic models, Power BI, and identity platform dashboards for revenue, margin, cash, forecast, and variance reporting, but metric definitions varied across reports.
- Schema and semantic-model changes silently affected calculations, filters, and visual outputs.
- Manual dashboard review did not scale across regions, roles, browsers, and refresh cycles.
Solutions Implemented
- Automated SQL-to-widget reconciliation, filters, roles, exports, and refresh checks.
- Added metric definitions, evidence reports, and pipeline validation after model changes.
- Mapped critical metrics, filters, roles, refresh schedules, and source queries for revenue, margin, cash, forecast, and variance reporting.
- Automated backend-to-dashboard reconciliation for totals, ratios, trends, and drill-down results.
- Implemented UI, export, filter, role, refresh, and visual-regression tests across ERP, data warehouse, semantic models, Power BI, and identity platform.
- Added continuous validation, alerting, and evidence reports after model, data, or dashboard changes.
Value Delivered
- Reduced the primary testing or operational effort by approximately [50%], subject to validation against approved engagement data.
- Improved trust in executive finance dashboards.
- Detected calculation and presentation defects before business consumption.
- Reduced repetitive manual dashboard verification.
Impact Highlights
- Achieved an estimated [35%] improvement in cycle time, coverage, or processing consistency; replace with the approved client metric.
- Reduced relevant defects, failures, or rework by an illustrative [20%]; confirm before publication.
- Faster dashboard releases with fewer calculation defects.
- Created reusable validation assets for additional reports and regions.
