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Message type: E = Error
Message class: MDC_BPR_MODEL - Business Partner Relationships Data Model
Message number: 102
Message text: Inconsistent data in preparation of matching
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MDC_BPR_MODEL102
- Inconsistent data in preparation of matching ?The SAP error message MDC_BPR_MODEL102, which indicates "Inconsistent data in preparation of matching," typically arises in the context of SAP Master Data Governance (MDG) or when dealing with data matching processes. This error suggests that there is an inconsistency in the data that is being processed, which prevents the system from successfully matching records.
Causes:
- Data Quality Issues: Inconsistent or incomplete data entries can lead to this error. This may include missing mandatory fields, incorrect data formats, or discrepancies in data values.
- Configuration Issues: Incorrect configuration settings in the matching rules or algorithms can lead to mismatches or failures in data processing.
- Duplicate Records: The presence of duplicate records or conflicting information in the master data can trigger this error.
- Data Model Changes: Changes in the data model or structure that have not been properly reflected in the data can cause inconsistencies.
- Integration Issues: Problems with data integration from other systems or sources can lead to inconsistencies in the data being processed.
Solutions:
- Data Validation: Review the data for completeness and correctness. Ensure that all mandatory fields are filled and that the data adheres to the expected formats.
- Check Configuration: Review the matching rules and configurations in the MDG settings. Ensure that they are set up correctly and are aligned with the business requirements.
- Identify Duplicates: Use tools or reports to identify and resolve duplicate records in the master data. This may involve merging records or correcting discrepancies.
- Data Cleansing: Implement data cleansing processes to standardize and correct data entries. This may include removing unnecessary spaces, correcting typos, and ensuring consistent naming conventions.
- Review Change Logs: If there have been recent changes to the data model or configuration, review the change logs to identify any potential issues that may have arisen from those changes.
- Testing: After making corrections, conduct tests to ensure that the data matching process works as expected without triggering the error.
Related Information:
If the issue persists after trying the above solutions, it may be beneficial to consult with SAP support or a technical consultant who specializes in SAP MDG for further assistance.
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