How To Fix /SAPAPO/ESPP_PR474 - Negative values in outlier correction set to zero

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/ESPP_PR -

• Message number: 474

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

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/ESPP_PR474 - Negative values in outlier correction set to zero ?

  The SAP error message /SAPAPO/ESPP_PR474 indicates that there are negative values in the outlier correction process within the SAP Advanced Planning and Optimization (APO) module. This typically occurs during the planning process when the system encounters negative values that are not valid for certain calculations, particularly in the context of demand planning or forecasting.
  Cause:
  
  Negative Historical Data: The most common cause is that the historical data being used for forecasting contains negative values. This can happen if there are returns, cancellations, or adjustments that result in negative demand.
  Data Quality Issues: Poor data quality or incorrect data entries can lead to negative values in the dataset.
  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.
  Adjust Outlier Correction Settings: If the negative values are valid (e.g., returns), consider adjusting the outlier correction settings to handle these cases appropriately.
  Data Cleansing: Implement data cleansing processes to ensure that negative values are addressed before they impact the forecasting process.
  Consult Documentation: Refer to SAP documentation for specific guidelines on handling outlier corrections and negative values in your version of SAP APO.
  Custom Logic: If necessary, implement custom logic in the planning book or use user exits to handle negative values according to your business requirements.
  
  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 APO.
  APO Configuration: Review the configuration settings in the APO system related to forecasting and outlier detection.
  Training and Support: Consider training for users involved in data entry and forecasting to minimize data quality issues in the future.
  
  By addressing the root cause of the negative values and ensuring data integrity, you can resolve the error and improve the accuracy of your forecasting processes in SAP APO.