Operations explain the financials.
Sales volume by mix, headcount, open work orders: your company’s operational data — measured at the source, computed by formula and tied line by line to the P&L.
| Month | OPE · volume_vendas | DRE · receita_liquida | CALC · ticket_medio |
|---|---|---|---|
| Jan/25 | 980 | R$ 38.5 M | R$ 33.8 k |
| Feb/25 | 1,010 | R$ 39.2 M | R$ 34.4 k |
| Mar/25 | 955 | R$ 38.1 M | R$ 33.9 k |
| Apr/25 | 1,040 | R$ 40.4 M | R$ 34.8 k |
| May/25 | 1,080 | R$ 41.0 M | R$ 35.2 k |
| Jun/25 | 1,025 | R$ 40.2 M | R$ 34.7 k |
| Jul/25 | 1,110 | R$ 42.1 M | R$ 35.6 k |
| Aug/25 | 1,150 | R$ 43.0 M | R$ 36.0 k |
| Sep/25 | 1,095 | R$ 42.2 M | R$ 35.5 k |
| Oct/25 | 1,180 | R$ 44.1 M | R$ 36.4 k |
| Nov/25 | 1,210 | R$ 45.0 M | R$ 36.8 k |
| Dec/25 | 1,160 | R$ 44.2 M | R$ 36.2 k |
| Jan/26 | 1,240 | R$ 45.8 M | R$ 37.1 k |
| Feb/26 | 1,195 | R$ 45.1 M | R$ 36.8 k |
| Mar/26 | 1,265 | R$ 46.5 M | R$ 37.6 k |
| Apr/26 | 1,300 | R$ 47.2 M | R$ 38.2 k |
| May/26 | 1,250 | R$ 46.6 M | R$ 37.8 k |
| Jun/26 | 1,240 | R$ 48.2 M | R$ 38.9 k |
Volume by mix — brand, model and store — measured straight from the source.
Headcount per department: the cost tree’s driver.
Shop productivity tracked day by day, no spreadsheet.
Calculated: revenue ÷ volume. Updates by itself at every close.
Three types, one catalog.
Each indicator declares what it is — measured, calculated or defined — and the system knows how to update it, validate it and use it in the P&L, budget and meeting.
| Attribute | Operational | Calculated | Assumption |
|---|---|---|---|
| Where it comes from | measured in operations | formula over other indicators | defined by management |
| Example | sales volume, work orders, headcount | avg ticket = revenue ÷ volume | 2027 inflation = 4.5% |
| Updates | automatic, via the data agent | recalculates with the P&L | versioned, with history |
| Role | cost driver | management KPI | budget and simulation input |
Write the formula once. Rename fearlessly.
The editor builds formulas from tokens — indicators and P&L lines — and validates syntax in real time, with a preview using the current period’s data.
- Tokens by identity, not by name: renaming an indicator breaks no formula.
- Real-time validation — syntax errors show before saving.
- Formula version history, with comparison.
Cost tree with drivers
From aggregate to detail: the expense drills down to the operational driver that explains it — becoming a unit cost comparable across stores and months.
The meeting starts with what matters
Five factors — deviation, R$ impact, 3-month trend, distance from benchmark and stalled actions — rank the indicators that deserve the discussion.
Green means green. Each indicator declares whether higher is better or worse — color always points the right way.
Composed by dimension. New-vehicle margin by brand: filter brand × department × category in a single indicator.
Tied to the P&L. An indicator pulls a P&L line with multiplier and sign — e.g. 0.875 to strip tax.
Benchmark on both rulers. Internal target and industry average both enter the analysis — the score weighs the two.
“Service absorption became a weekly topic. When the result worsens, we already know which indicator to look at.”