How To Fix BRAIN869 - No non-cumulative data read, as affected validity areas are empty

SAP Error Message - Details

• Message type: E = Error

• Message class: BRAIN -

• Message number: 869

• Message text: No non-cumulative data read, as affected validity areas are empty

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message BRAIN869 - No non-cumulative data read, as affected validity areas are empty ?

  The SAP error message BRAIN869 indicates that there is no non-cumulative data available for the specified validity areas in your query. This typically occurs in the context of SAP BW (Business Warehouse) when you are trying to retrieve data from a non-cumulative key figure, but the relevant data for the specified time period or other selection criteria is not available.
  Causes:
  
  Empty Validity Areas: The validity areas you are querying do not contain any data. This could be due to the data not being loaded into the InfoProvider or the data being filtered out by the selection criteria.
  Incorrect Query Design: The query might be designed in such a way that it is looking for data that does not exist, such as using incorrect filters or characteristics.
  Data Load Issues: There may have been issues during the data load process, resulting in missing data for the specified time period or characteristics.
  Data Archiving: Data may have been archived or deleted, leading to the absence of non-cumulative data for the queried period.
  
  Solutions:
  
  Check Data Availability: Verify that the data exists in the InfoProvider for the specified validity areas. You can do this by running a simple query or using transaction codes like RSA1 to check the data in the InfoProvider.
  Review Query Filters: Examine the filters and selection criteria in your query. Ensure that they are set correctly and that they do not exclude the data you are trying to retrieve.
  Data Load Monitoring: Check the data load process to ensure that it completed successfully. You can use transaction codes like RSMO or RSPC to monitor the data load jobs.
  Adjust Validity Areas: If the validity areas are not set correctly, adjust them to include the necessary time periods or characteristics that contain data.
  Consult with Data Management: If you suspect data archiving or deletion, consult with your data management team to understand the data lifecycle and whether the data you need is still available.
  
  Related Information:
  
  Non-Cumulative Key Figures: These are key figures that do not accumulate over time, such as stock levels or balances. Understanding how these key figures work in SAP BW can help in troubleshooting.
  SAP BW Query Designer: Familiarize yourself with the Query Designer tool to better understand how to create and modify queries, including setting up filters and validity areas.
  SAP Notes and Documentation: Check SAP Notes for any known issues related to this error message. SAP's official documentation can also provide insights into best practices for data modeling and query design.
  
  By following these steps, you should be able to identify the cause of the BRAIN869 error and implement a solution to retrieve the desired data.