Definition · forecasting
Forecast accuracy
Forecast accuracy measures how closely forecasted results match actual outcomes, often using error metrics such as MAPE, variance, or absolute error. For forecast accuracy, 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 forecast error, forecast variance, MAPE
Why it matters
Understanding forecast accuracy matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. Pluvo shows where a forecast missed and which driver caused the gap, so each cycle improves on a measured basis instead of a guess.
In practice
Planning example
Teams use forecast accuracy 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 shows where a forecast missed and which driver caused the gap, so each cycle improves on a measured basis instead of a guess.
In practice, teams should define forecast accuracy with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding forecast accuracy matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. Pluvo shows where a forecast missed and which driver caused the gap, so each cycle improves on a measured basis instead of a guess.
A strong workflow for forecast accuracy 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 shows where a forecast missed and which driver caused the gap, so each cycle improves on a measured basis instead of a guess.
FAQ
How do you measure forecast accuracy?
Measure forecast accuracy against a defined standard: agreed source data, expected output, review threshold, and owner. That makes the answer testable instead of relying on whether the result merely looks plausible.
What is a good forecast accuracy percentage?
A good value for forecast accuracy depends on company stage, business model, margin profile, cash position, and reporting purpose. The useful comparison is the one tied to the decision, not a generic benchmark copied across contexts.