How To Fix UPF1010 - Mean absolute percent error &1

SAP Error Message - Details

• Message type: E = Error

• Message class: UPF1 - Messages SEM-BPS Forecast

• Message number: 010

• Message text: Mean absolute percent error &1

Self-Explanatory Message

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• What is the cause and solution for SAP error message UPF1010 - Mean absolute percent error &1 ?

  The SAP error message UPF1010, which refers to the "Mean Absolute Percent Error" (MAPE), typically occurs in the context of forecasting and planning within SAP systems, particularly in SAP Integrated Business Planning (IBP) or SAP Advanced Planning and Optimization (APO). This error indicates that there is an issue with the calculation of the MAPE, which is a common metric used to assess the accuracy of forecasting models.
  Cause:
  The UPF1010 error can be caused by several factors, including:
  
  Data Quality Issues: Missing or incorrect historical data can lead to inaccurate calculations of MAPE.
  Zero or Negative Values: MAPE is sensitive to zero or negative actual values in the dataset. If the actual values are zero, it can lead to division by zero errors or undefined results.
  Configuration Issues: Incorrect settings in the forecasting model or planning area can lead to errors in the calculation.
  Insufficient Data: If there is not enough data to perform a meaningful forecast, the MAPE calculation may fail.
  
  Solution:
  To resolve the UPF1010 error, consider the following steps:
  
  Check Data Integrity: Ensure that the historical data used for forecasting is complete and accurate. Look for any missing values or anomalies in the dataset.
  Handle Zero or Negative Values: Review the actual values in your dataset. If there are zero or negative values, consider how to handle them (e.g., removing them from the dataset or using a different metric).
  Review Configuration Settings: Check the configuration of your forecasting model and planning area. Ensure that all settings are correctly defined and aligned with your business requirements.
  Increase Data Volume: If the dataset is too small, try to include more historical data to improve the reliability of the forecast.
  Consult Documentation: Refer to SAP documentation or help resources for specific guidance on MAPE calculations and error handling in your version of SAP.
  
  Related Information:
  
  Mean Absolute Percent Error (MAPE): MAPE is a measure of prediction accuracy in a forecasting method. It is calculated as the average of the absolute percent errors of forecasts.
  SAP IBP and APO: These are SAP solutions for integrated business planning and advanced planning and optimization, respectively. They include various forecasting and planning functionalities.
  Error Handling in SAP: Familiarize yourself with general error handling practices in SAP, as they can provide insights into troubleshooting similar issues.
  
  If the problem persists after following these steps, it may be beneficial to consult with your SAP support team or a technical consultant who specializes in SAP IBP or APO for further assistance.