How To Fix HRESS_CLMS_MSG655 - Error while inserting claim record &1 in cluster for employee &2


SAP Error Message - Details

  • Message type: E = Error

  • Message class: HRESS_CLMS_MSG - Messages for India PS localization functionalities

  • Message number: 655

  • Message text: Error while inserting claim record &1 in cluster for employee &2

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  • 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 HRESS_CLMS_MSG655 - Error while inserting claim record &1 in cluster for employee &2 ?
    The SAP error message HRESS_CLMS_MSG655 indicates that there was an error while trying to insert a claim record into the cluster for a specific employee. This error typically occurs in the context of the SAP Human Resources (HR) module, particularly when dealing with employee claims or expense reimbursements.
    Possible Causes:
    
    Data Integrity Issues: The data being inserted may not meet the required format or constraints. This could include missing mandatory fields, incorrect data types, or invalid references.
    Authorization Issues: The user attempting to perform the operation may not have the necessary authorizations to insert records into the cluster.
    Cluster Table Issues: There may be issues with the cluster table itself, such as corruption or misconfiguration.
    System Configuration: Incorrect configuration settings in the HR module or related components may lead to this error.
    Concurrency Issues: If multiple processes are trying to access or modify the same data simultaneously, it could lead to conflicts.
    
    Solutions:
    
    Check Data Validity: Review the

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