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How To Fix /MVA/AMT_MIG11004 - Plausibility error during migration of data record &1 of table &2


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /MVA/AMT_MIG11 -

  • Message number: 004

  • Message text: Plausibility error during migration of data record &1 of table &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.



    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.


Smart SAP Assistant

  • What is the cause and solution for SAP error message /MVA/AMT_MIG11004 - Plausibility error during migration of data record &1 of table &2 ?

    The SAP error message /MVA/AMT_MIG11004 indicates a plausibility error during the migration of data records in the context of the SAP Advanced Planning and Optimization (APO) or similar modules. This error typically arises when the data being migrated does not meet certain predefined criteria or rules that ensure the integrity and consistency of the data.

    Cause:

    The plausibility error can be caused by several factors, including but not limited to:

    1. Data Inconsistencies: The data being migrated may have inconsistencies or invalid values that do not conform to the expected format or business rules.
    2. Missing Dependencies: Required related data or dependencies may be missing, leading to a failure in validating the record.
    3. Incorrect Mapping: The mapping of fields from the source to the target system may be incorrect, causing the data to be in an unexpected format.
    4. Business Logic Violations: The data may violate specific business logic or constraints defined in the target system.

    Solution:

    To resolve the error, you can follow these steps:

    1. Check the Error Log: Review the detailed error log to identify the specific record and table that caused the error. This will provide insights into what went wrong.
    2. Validate Data: Ensure that the data being migrated is valid and adheres to the required formats and business rules. Check for any missing or incorrect values.
    3. Review Mapping: Verify the mapping of fields from the source to the target system. Ensure that all required fields are correctly mapped and that the data types are compatible.
    4. Check Dependencies: Ensure that all necessary related data is present in the target system. If there are dependencies, make sure they are migrated before the dependent records.
    5. Consult Documentation: Refer to SAP documentation or migration guides specific to the module you are working with for any additional requirements or constraints.
    6. Test Migration: If possible, perform a test migration with a smaller dataset to identify and resolve issues before migrating the entire dataset.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional guidance on data migration issues.
    • Migration Tools: If you are using specific migration tools (like SAP Data Services or LSMW), consult their documentation for troubleshooting tips related to plausibility errors.
    • Community Forums: Engage with SAP community forums or support channels where other users may have encountered similar issues and can offer solutions.

    By following these steps, you should be able to identify the root cause of the plausibility error and take appropriate actions to resolve it.

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