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Component: SCM-APO-FCS
Component Name: Demand Planning
Description: Removing the seasonal pattern from the historical time series that is the basis for XYZ classification.
Key Concepts: Deseasonalize is a process used in SAP SCM-APO-FCS Demand Planning to remove the seasonal effects from a time series. This process is used to identify the underlying trend of the data and to make more accurate predictions. How to use it: In SAP SCM-APO-FCS Demand Planning, deseasonalize can be used to remove the seasonal effects from a time series. This is done by subtracting the seasonal component from the original time series. The resulting time series will have no seasonal effects and will be easier to analyze and predict. Tips & Tricks: When using deseasonalize, it is important to ensure that the seasonal component is accurately calculated. This can be done by using a reliable forecasting method such as exponential smoothing or ARIMA. Additionally, it is important to ensure that the data is free of outliers before deseasonalizing. Related Information: Deseasonalize is closely related to other forecasting techniques such as exponential smoothing and ARIMA. Additionally, it can be used in conjunction with other forecasting methods such as regression analysis and time series decomposition.