How To Fix DMC_RT_MSG632 - Data inconsistency found; check errors in Notifications from Validation


SAP Error Message - Details

  • Message type: E = Error

  • Message class: DMC_RT_MSG - DMC: Runtime Object Messages

  • Message number: 632

  • Message text: Data inconsistency found; check errors in Notifications from Validation

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  • What causes this issue?

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

    System Response

    How to fix this error?

    Download the files with errors, correct all the data inconsistency,
    upload the files, and start data transfer again. Alternatively, you can
    deactivate the files with errors and transfer the other files.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message DMC_RT_MSG632 - Data inconsistency found; check errors in Notifications from Validation ?
    The SAP error message DMC_RT_MSG632 indicates that there is a data inconsistency found during the validation process in the Data Management Cockpit (DMC). This error typically arises when there are discrepancies in the data being processed, which can lead to issues in data replication or transformation.
    
    Cause: Data Quality Issues: The source data may contain invalid, incomplete, or inconsistent records that do not meet the validation criteria. Configuration Errors: Incorrect settings in the DMC or related systems can lead to validation failures. Mapping Issues: If there are discrepancies in the mapping of fields between source and target systems, it can cause inconsistencies. Business Rules Violations: The data may violate certain business rules defined in the DMC, leading to validation errors.
    Solution: Check Notifications: Review the notifications or logs generated during the validation process. These will provide specific details about the inconsistencies found. Data Cleansing: Identify and correct any data quality issues in the source data. This may involve

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