How To Fix /SAPAPO/PR474 - Negative values in outlier correction set to zero

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/PR -

• Message number: 474

• Message text: Negative values in outlier correction set to zero

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/PR474 - Negative values in outlier correction set to zero ?

  The SAP error message /SAPAPO/PR474 indicates that there are negative values in the outlier correction process, which are being set to zero. This typically occurs in the context of demand planning or forecasting within the SAP Advanced Planning and Optimization (APO) module.
  Cause:
  
  Negative Values in Data: The primary cause of this error is the presence of negative values in the data set that is being processed for outlier correction. This can happen if the historical data contains negative demand values, which are not valid in most forecasting scenarios.
  Data Quality Issues: Poor data quality, such as incorrect data entry or data extraction issues, can lead to negative values.
  Outlier Detection Settings: The settings for outlier detection may not be configured correctly, leading to the identification of negative values as outliers.
  
  Solution:
  
  Data Review: Review the historical data for the relevant key figures to identify and correct any negative values. Ensure that the data reflects accurate demand figures.
  Data Cleansing: Implement data cleansing processes to remove or correct negative values before they are processed in the forecasting model.
  Adjust Outlier Detection Settings: If applicable, adjust the settings for outlier detection in the forecasting model to ensure that it handles negative values appropriately. This may involve changing thresholds or methods used for outlier detection.
  Use of Forecasting Models: Consider using forecasting models that can handle negative values if they are valid in your business context (e.g., returns or cancellations).
  Consult Documentation: Refer to SAP documentation or help resources for specific guidance on handling outlier correction and negative values in your version of SAP APO.
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional guidance on handling negative values in forecasting.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have implemented.
  Training and Best Practices: Consider training for users involved in data entry and forecasting to ensure they understand the importance of data quality and the implications of negative values in demand planning.
  
  By addressing the root causes and implementing the suggested solutions, you should be able to resolve the error and improve the accuracy of your forecasting processes in SAP APO.