ForecastPerioden

ForecastPerioden is a concept used in forecasting and planning to refer to the set of future time intervals for which a forecast is produced and used. It defines the horizons, granularity, and baseline date that frame forecast outputs. The term is commonly applied in business, logistics, and finance, where forecasts are produced for multiple time windows and linked to planning cycles.

A forecast period, or the sequence of periods collectively called ForecastPerioden, is characterized by its start date, end date, and the interval length between points (for example daily, weekly, monthly, or quarterly). The collection of periods allows organizations to align forecasting with budgeting, capacity planning, and strategic decision-making. Different periods may use different models or assumptions, but they are typically designed to be consistent in terminology and methodology.

In practice, ForecastPerioden support short-term operational forecasts, medium-term tactical forecasts, and long-term strategic projections. They enable rolling forecasts, scenario analysis, and performance tracking across time. Forecast accuracy is often evaluated separately for each period or horizon, using metrics such as MAPE, RMSE, or probabilistic intervals.

Implementations of ForecastPerioden require clear governance, data governance, and version control. Key considerations include the frequency of updates, dependency between successive periods, how new data affects existing forecasts, and how results feed into planning processes. When well-defined, ForecastPerioden help organizations manage uncertainty, coordinate actions across departments, and improve preparation for future demand and capacity needs.