P&L, margin, and OPEX variance with standardized taxonomy (rate, volume, mix, FX, returns). Snowflake + Power BI. Synthetic data.
| Cost Center | Actual | Budget | Variance | Var % | Status |
|---|---|---|---|---|---|
| Engineering | $3.12M | $2.85M | +$270K | 9.5% | Over |
| Marketing | $1.84M | $1.70M | +$140K | 8.2% | Over |
| Consulting | $960K | $880K | +$80K | 4.1% | Watch |
| Sales - East | $2.45M | $2.40M | +$50K | 2.1% | Watch |
| Manufacturing | $4.10M | $4.25M | -$150K | -3.5% | Under |
| KPI | Formula | Grain | Date Basis | Owner |
|---|---|---|---|---|
| Net Revenue | SUM(gross + returns + adjustments) | Transaction | Invoice date | FP&A |
| Gross Margin % | (net_revenue - cogs) / net_revenue | Division, month | Invoice date | FP&A |
| OPEX Variance | SUM(actual) - SUM(budget) | Cost center, month | Accounting period | Controller |
| OPEX Variance % | variance / budget | Cost center, month | Accounting period | Controller |
| Rate Effect | (price_curr - price_prior) * units_prior | Division, product, month | Invoice date | FP&A |
| Volume Effect | (units_curr - units_prior) * price_prior | Division, product, month | Invoice date | FP&A |
All data are synthetic. Governed KPI definitions in docs/kpi_dictionary.md. Source: github.com/nicholasjh-work/financial-kpi-dashboard