Definition · forecasting
Driver-based forecasting
Driver-based forecasting is building forecasts from operational drivers and assumptions rather than extrapolating historical line items. For driver-based forecasting, the useful boundary is the driver, assumption, source data, owner, time period, scenario logic, and decision the model is meant to support.
Also known as driver-based planning, driver-based modeling
Why it matters
Understanding driver-based forecasting matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. Pluvo maps the operational drivers behind each line and recomputes the forecast when a driver moves, so the model stays connected to what is actually happening in the business.
In practice
Planning example
Teams use driver-based forecasting when a forecast, budget, or scenario needs an assumption that can be revisited. The finance team should know the driver, source data, owner, and period before using it in a model.
Pluvo example
Pluvo maps the operational drivers behind each line and recomputes the forecast when a driver moves, so the model stays connected to what is actually happening in the business.
In practice, teams should define driver-based forecasting with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding driver-based forecasting matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. Pluvo maps the operational drivers behind each line and recomputes the forecast when a driver moves, so the model stays connected to what is actually happening in the business.
A strong workflow for driver-based forecasting separates the definition from the action: first agree what the term means, then decide how it is measured, when it changes, and who is accountable for the next step.
Pluvo maps the operational drivers behind each line and recomputes the forecast when a driver moves, so the model stays connected to what is actually happening in the business.
FAQ
What is driver-based forecasting?
Driver-based forecasting is building forecasts from operational drivers and assumptions rather than extrapolating historical line items. For driver-based forecasting, the useful boundary is the driver, assumption, source data, owner, time period, scenario logic, and decision the model is meant to support.
How do you choose forecast drivers?
To use driver-based forecasting, start with the decision, then confirm the source data, timing, calculation logic, and owner. The analysis is strongest when a reviewer can trace the answer back to the records that produced it.