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


UMK257 - Overview

  • Message type: E = Error

  • Message class: UMK - Measures

  • Message number: 257

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

  • Show details Hide details


  • 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.


UMK257 - Details

  • 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

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