How To Fix UMK257 - Data was successfully saved in the benchmark InfoCube

SAP Error Message - Details

• Message type: E = Error

• Message class: UMK - Measures

• Message number: 257

• Message text: Data was successfully saved in the benchmark InfoCube

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message UMK257 - Data was successfully saved in the benchmark InfoCube ?

  The SAP error message UMK257 indicates that data was successfully saved in the benchmark InfoCube, but it may also imply that there are issues related to the data processing or reporting that need to be addressed. Here’s a breakdown of the potential causes, solutions, and related information for this message:
  Causes:
  
  Data Consistency Issues: The data saved might not be consistent with the expected format or structure, leading to potential issues in reporting or further processing.
  Data Load Errors: There may have been issues during the data load process that were not severe enough to prevent saving but could affect the integrity of the data.
  Configuration Issues: The InfoCube or the related data model might not be configured correctly, leading to unexpected behavior.
  Performance Issues: If the InfoCube is large or complex, performance issues might arise, causing delays or timeouts during data processing.
  
  Solutions:
  
  Check Data Consistency: Review the data that was saved in the benchmark InfoCube to ensure it meets the expected standards. Use transaction codes like RSA1 (Data Warehousing Workbench) to analyze the data.
  Review Load Logs: Check the data load logs for any warnings or errors that might indicate issues during the data loading process. This can help identify specific records or processes that need attention.
  Validate Configuration: Ensure that the InfoCube and its related objects (like DataSources, transformations, and DTPs) are correctly configured. This includes checking for any missing or incorrect settings.
  Performance Tuning: If performance is an issue, consider optimizing the InfoCube by aggregating data, partitioning, or adjusting the data model to improve processing times.
  Reprocess Data: If necessary, you may need to reprocess the data to correct any inconsistencies or errors. This can involve deleting the problematic data and reloading it.
  
  Related Information:
  
  SAP Notes: Check SAP Notes related to the UMK257 message for any specific guidance or patches that may address known issues.
  Documentation: Review SAP documentation on InfoCubes and data loading processes to ensure best practices are being followed.
  Community Forums: Engage with SAP community forums or support channels to see if other users have encountered similar issues and what solutions they found effective.
  
  If the problem persists after following these steps, it may be beneficial to consult with your SAP support team or reach out to SAP support for further assistance.