How to use /SAPAPO/FCSTOUTL - Outlier Correction Settings

SAP Transaction Code - Details

• Transaction Code: /SAPAPO/FCSTOUTL

  Description: Outlier Correction Settings

  Release: S/4HANA and ECC 6

• • Program: /SAPAPO/SCMB_FCSTOUTL

    Screen: 1000

    Authorization Object:

  • Development Package: /SAPAPO/SCMB_FORECAST

    Package Description: Forecast

    Parent Package: BW_SCM

  • Module/Component: SCM-BAS

    Description: SCM Basis

Smart SAP Assistant

• SAP Tcode: /SAPAPO/FCSTOUTL - Outlier Correction Settings

  
  Overview:
  /SAPAPO/FCSTOUTL is a transaction code in SAP Advanced Planning and Optimization (SAP APO) that allows users to set up outlier correction settings for the forecasting process. Outlier correction is a process of identifying and correcting extreme values in a dataset that may be caused by errors or anomalies. 
  
  Functionality: 
  This transaction code enables users to define the parameters for outlier correction, such as the number of outliers to be corrected, the type of outlier correction to be used, and the threshold value for outlier detection. It also allows users to specify which forecast models should use outlier correction and which should not. 
  
  Step-by-step How to Use: 
  1. Access the /SAPAPO/FCSTOUTL transaction code in SAP APO. 
  2. Select the forecast model for which you want to set up outlier correction settings. 
  3. Select the type of outlier correction you want to use (e.g., median or mean). 
  4. Enter the threshold value for outlier detection (e.g., 3 standard deviations). 
  5. Specify whether or not you want to use outlier correction for this forecast model. 
  6. Save your changes. 
  
  Other Recommendations: 
  It is important to note that outlier correction can have a significant impact on the accuracy of your forecasts, so it is important to carefully consider which settings are best for your particular situation. Additionally, it is recommended that you periodically review your outlier correction settings to ensure they are still appropriate for your forecasting needs.