How To Fix /SMB/SC_MAIN027 - &1 &2 has not been saved. Save data?


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SMB/SC_MAIN -

  • Message number: 027

  • Message text: &1 &2 has not been saved. Save data?

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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 /SMB/SC_MAIN027 - &1 &2 has not been saved. Save data? ?

    The SAP error message /SMB/SC_MAIN027 &1 &2 has not been saved. Save data?? typically indicates that there was an issue with saving data in the SAP system, particularly in the context of the SAP Business One or SAP Business ByDesign environments. The placeholders &1 and &2 usually represent specific identifiers or messages related to the data that was not saved.

    Possible Causes:

    1. Data Validation Errors: The data being saved may not meet the required validation rules set in the system. This could be due to missing mandatory fields, incorrect data formats, or invalid values.

    2. Authorization Issues: The user may not have the necessary permissions to save the data in the specified context.

    3. System Configuration: There may be configuration issues in the system that prevent data from being saved correctly.

    4. Technical Issues: There could be underlying technical issues such as database connectivity problems, system performance issues, or bugs in the application.

    5. Session Timeout: If the user session has timed out, the system may not allow saving data.

    Solutions:

    1. Check Data Validity: Review the data being entered to ensure that all required fields are filled out correctly and that the data adheres to the expected formats.

    2. Review Authorizations: Ensure that the user has the necessary permissions to perform the save operation. This may involve checking user roles and authorizations in the SAP system.

    3. Consult Configuration Settings: If you have access to system configuration, check for any settings that might be affecting data saving processes.

    4. Technical Support: If the issue persists, consider reaching out to your IT support team or SAP support for assistance. They can check for any system errors or logs that might provide more insight into the problem.

    5. Session Management: Ensure that the user session is active and has not timed out. If it has, re-login to the system and try saving the data again.

    6. Error Logs: Check the application logs for any additional error messages that might provide more context about the failure.

    Related Information:

    • SAP Notes: Search for relevant SAP Notes in the SAP Support Portal that might address this specific error message or provide patches and updates.
    • Documentation: Review the official SAP documentation for the specific module you are working with to understand the data requirements and constraints.
    • Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed, and solutions shared.

    If you continue to experience issues, providing the exact context in which the error occurs (e.g., specific transactions, data types) can help in diagnosing the problem more effectively.

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