How To Fix GD273 - Update of data pool for Risk Management was not successful.


GD273 - Overview

  • Message type: E = Error

  • Message class: GD - EDT: External data transfer

  • Message number: 273

  • Message text: Update of data pool for Risk Management was not successful.

  • Show details Hide details
  • CAUSE&
    With the transfer of sales, when Risk Management is in use, certain
    tables are updated. An error cannot occur here without a system error
    having occurred first.

    System Response

    The transfer is terminated. It is possible that some records were
    written.

    How to fix this error?

    Inform your system administrator.

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message GD273 - Update of data pool for Risk Management was not successful. ?
    The SAP error message GD273, which states "Update of data pool for Risk Management was not successful," typically occurs in the context of SAP Risk Management when there is an issue with updating the data pool that is used for risk assessments and management processes. Here are some potential causes, solutions, and related information for this error:
    Causes:
    
    Data Consistency Issues: There may be inconsistencies in the data being processed, such as missing or incorrect entries in the risk management tables.
    Authorization Problems: The user may not have the necessary authorizations to perform the update operation.
    Technical Issues: There could be technical problems such as database locks, connectivity issues, or system performance problems.
    Configuration Errors: Incorrect configuration settings in the Risk Management module may lead to update failures.
    Transport Issues: If the system has recently undergone a transport of changes, there may be issues with the transported objects.
    
    Solutions:
    
    Check Data Consistency: Review the data being processed for

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