Side-by-side
| Dimension | FP&A Software | Operating Intelligence |
|---|---|---|
| Primary buyer | CFO, head of FP&A | COO, founder, head of ops |
| Primary job | Plan the future | Run the present |
| Time horizon | Annual + quarterly + scenario | Weekly cadence |
| Data scope | GL + budget + headcount | GL + CRM + ads + ecom + subscription |
| Output | Plan, variance, scenario | Decisions, actions, alerts |
| Unit of work | The model | The decision |
| Examples | Mosaic, Cube, Datarails, Pigment | Fairview |
Two forecasts that are not the same forecast
Both categories produce a number, and this is where buyers get confused. The FP&A forecast is the plan: this is the number we have committed to hit. The operating intelligence forecast is the projection: based on current run-rate and pipeline, this is the number we are likely to hit, with a range around it.
The first is a target. The second is a probability. You need both, and you need them to disagree visibly — the gap between plan and projection is the thing worth managing. A single blended number hides exactly the information you needed. That is why Forecast Confidence reports a range with a High / Medium / Low score rather than one figure, and tracks actual against forecast over time so you learn how wrong you usually are.
How to tell which one you need
Ask what breaks if you do nothing for a quarter.
- If the answer is "the board has no plan, headcount decisions stall, we cannot model the fundraise" — that is FP&A. Look at Cube, Datarails, Pigment or Mosaic, and the FP&A software comparison.
- If the answer is "we keep spending into channels that lose money and find out six weeks later" — that is operating intelligence. The cost of waiting is measured in weekly decisions, not in quarterly planning cycles.
A second tell: who is doing the work today. If the answer is the CFO or a finance analyst in a modeling tool, adding operating intelligence will not remove that work. If the answer is an operator reconciling exports in a spreadsheet every Monday, an FP&A platform will not remove that either — it is not built to read your ad platforms or your store.
Where they overlap, and how to divide the work
Overlap is real: both touch revenue, both touch margin, both produce a forecast. The clean division is by time horizon and by decision owner. FP&A owns the quarter and the plan. Operating intelligence owns the week and the actions that make the plan happen or miss it.
In practice that means variance analysis lives in FP&A — plan versus actual, explained. Contribution margin by channel, campaign and SKU lives in operating intelligence, because that is where the decision to change spend gets made. If you find both systems computing gross margin differently, fix the definition before you fix the tooling.
The overlap trap
The expensive version of this decision is buying an FP&A platform to solve an operating problem. It happens because FP&A is a mature category with confident sales motions and the operating problem does not have an obvious name. Six months later the finance team has a good model and the operator is still exporting from four tools on Monday morning, because nothing in the FP&A stack reads Shopify orders, Meta spend or Stripe refunds at the grain the decision needs.
The reverse mistake is cheaper but still real: expecting operating intelligence to run a three-scenario fundraise model. It will not. Fairview is priced per account at $149, $349 or $699 per month with a 14-day trial and no credit card — cheap enough to test against your own data in an afternoon, which is a better way to settle this than a feature matrix.