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Message type: E = Error
Message class: /SAPAPO/PR -
Message number: 407
Message text: Insufficient historical values available for creation of average value
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/SAPAPO/PR407
- Insufficient historical values available for creation of average value ?The SAP error message
/SAPAPO/PR407
indicates that there are insufficient historical values available for the system to calculate an average value for a particular key figure in the Advanced Planning and Optimization (APO) module. This typically occurs during the planning process when the system attempts to generate forecasts or perform calculations that require historical data.Cause:
Lack of Historical Data: The most common cause is that there is not enough historical data available for the key figure being analyzed. This could be due to:
- No historical data being recorded for the product or location.
- Data being archived or deleted.
- The time period for which the average is being calculated does not have sufficient entries.
Configuration Issues: There may be issues with the configuration of the key figures or the planning book that prevent the system from accessing the necessary historical data.
Data Transfer Issues: If data is being transferred from another system (like SAP ECC), there may be delays or issues in the data transfer process.
Solution:
Check Historical Data: Verify that there is sufficient historical data for the key figure in question. You can do this by:
- Navigating to the relevant InfoProvider or planning area and checking the historical data entries.
- Ensuring that the data is not archived or deleted.
Adjust Time Period: If the time period for which the average is being calculated is too short, consider extending it to include more historical data.
Review Configuration: Check the configuration settings for the key figures and planning books to ensure they are set up correctly. This includes:
- Ensuring that the key figure is correctly defined in the planning book.
- Verifying that the aggregation and disaggregation settings are appropriate.
Data Load and Transfer: If data is being loaded from another system, ensure that the data load process is functioning correctly and that all necessary data has been transferred.
Use Alternative Calculation Methods: If historical data is genuinely insufficient, consider using alternative forecasting methods that do not rely on historical averages, such as statistical forecasting methods or manual input.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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