Analyseperiode

Analyseperiode is a term used in statistics, data analysis and planning to denote the time interval over which data is collected and analyzed. The concept defines the scope of an analysis, the relevance of data, and the interpretation of results. In practice, the analyseperiode is chosen to balance data sufficiency, timeliness and relevance to the question or decision at hand.

Common forms include fixed analyseperiods, where a specific start and end date are set; rolling or moving analyseperiods, where the window advances with time (for example, the last 12 months); and expanding analyseperiods, where the window grows as more data becomes available. The choice depends on objectives, data availability, seasonality, and any regulatory or reporting requirements.

Applications span many fields, including business performance analysis, forecasting, clinical research, energy consumption monitoring, and market studies. In each case, the analyseperiode is aligned with the decision horizon and data characteristics to ensure meaningful results.

Key considerations when defining an analyseperiode include data quality and completeness, reporting delays, and the presence of seasonality or long-term trends. Boundary effects, non-stationarity, and autocorrelation can affect analyses conducted over certain intervals. Sensitivity analysis, back-testing, and careful documentation support robustness and reproducibility.

See also: time series analysis, windowing, rolling window, observation window, reporting period.