What is ex-post forecast in SAP SCM-APO-FCS - Demand Planning?

SAP Term: ex-post forecast

• Component: SCM-APO-FCS

• Component Name: Demand Planning

• Description: A forecast that is run in past periods for which actual demand history is also available. The system calculates the forecast accuracy measurements by comparing the differences between the actual values and the ex-post values.

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• Key Concepts: 
  Ex-post forecast is a forecasting method used in SAP's Supply Chain Management - Advanced Planning and Optimization (SCM-APO) - Forecast Consumption System (FCS) Demand Planning component. It is a statistical forecasting technique that uses historical data to predict future demand. It takes into account the past demand patterns and trends to make an accurate forecast. 
  
  How to use it: 
  In order to use ex-post forecast, you need to first set up the forecasting parameters in the FCS Demand Planning component. This includes setting up the forecasting horizon, the time period for which you want to make the forecast, and the forecasting method. Once these parameters are set, you can then run the ex-post forecast. The system will then generate a forecast based on the historical data that has been inputted. 
  
  Tips & Tricks: 
  When using ex-post forecast, it is important to ensure that the historical data is accurate and up-to-date. This will help ensure that the forecast generated is as accurate as possible. Additionally, it is important to regularly review and update the forecasting parameters in order to ensure that they are still relevant and applicable. 
  
  Related Information: 
  Ex-post forecast is just one of many forecasting methods available in SAP's SCM-APO-FCS Demand Planning component. Other methods include time series analysis, regression analysis, and causal analysis. Each of these methods has its own advantages and disadvantages, so it is important to consider which one would be best suited for your particular situation before making a decision.