How To Fix RSL_UI349 - Master data check and data cleansing successful


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSL_UI -

  • Message number: 349

  • Message text: Master data check and data cleansing successful

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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 RSL_UI349 - Master data check and data cleansing successful ?

    The SAP error message RSL_UI349 indicates that a master data check and data cleansing process has been completed successfully. This message is not an error in the traditional sense; rather, it is an informational message that confirms that the system has performed the necessary checks on master data and has found no issues that require attention.

    Cause:

    • The message is triggered after a data cleansing or validation process is executed in SAP, particularly in the context of master data management.
    • It indicates that the data being checked meets the required standards and does not have any inconsistencies or errors.

    Solution:

    Since RSL_UI349 is an informational message indicating success, there is no action required to resolve an error. However, if you are looking to ensure that your master data remains clean and accurate, consider the following best practices:

    1. Regular Data Cleansing: Schedule regular data cleansing processes to maintain the quality of your master data.
    2. Data Governance: Implement data governance policies to ensure that data entry and maintenance follow established standards.
    3. Training: Provide training for users who handle master data to minimize errors during data entry.
    4. Monitoring: Continuously monitor master data for any anomalies or inconsistencies that may arise over time.

    Related Information:

    • Master Data Management (MDM): Understanding the principles of MDM can help in maintaining high-quality data.
    • SAP Data Services: Consider using SAP Data Services for more advanced data cleansing and transformation capabilities.
    • SAP Notes and Documentation: Check SAP Notes and official documentation for any updates or additional information related to master data management and data cleansing processes.

    If you encounter any specific issues or have further questions about master data management in SAP, feel free to ask!

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