Definition · forecasting
Forecast horizon
Forecast horizon is the length of time a forecast projects into the future and how it affects accuracy. For forecast horizon, 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 planning horizon, forecast period
Why it matters
Understanding forecast horizon matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. When the term is tied to a source system, owner, and review cadence, it becomes easier to audit assumptions, catch changes early, and keep operators aligned.
In practice
Planning example
Teams use forecast horizon 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.
Review example
Forecast horizon should be reviewed whenever the source system, calculation logic, time period, or decision owner changes. That keeps the definition useful instead of letting it drift into a label.
In practice, teams should define forecast horizon with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding forecast horizon matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. When the term is tied to a source system, owner, and review cadence, it becomes easier to audit assumptions, catch changes early, and keep operators aligned.
A strong workflow for forecast horizon 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.
FAQ
What is a forecast horizon?
Forecast horizon is the length of time a forecast projects into the future and how it affects accuracy. For forecast horizon, the useful boundary is the driver, assumption, source data, owner, time period, scenario logic, and decision the model is meant to support.
How far out should you forecast?
Use forecast horizon when the decision depends on the length of time a forecast projects into the future and how it affects accuracy. Before relying on it, confirm the source system, accounting treatment, time period, and owner so the term is applied consistently.