How To Fix /SMB/BB_BUILDER262 - Data was not saved


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SMB/BB_BUILDER -

  • Message number: 262

  • Message text: Data was not saved

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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/BB_BUILDER262 - Data was not saved ?

    The SAP error message /SMB/BB_BUILDER262 Data was not saved typically occurs in the context of the SAP Business ByDesign or SAP Business One environments, particularly when working with the Business Builder or similar tools. This error indicates that there was an issue during the data saving process, which could be due to various reasons.

    Possible Causes:

    1. Validation Errors: The data being saved may not meet the required validation rules. This could be due to missing mandatory fields, incorrect data formats, or values that do not comply with business rules.

    2. Authorization Issues: The user may not have the necessary permissions to save the data. This can happen if the user role does not have the required authorizations for the specific action.

    3. Technical Issues: There could be underlying technical issues such as database connectivity problems, system performance issues, or temporary system outages.

    4. Data Conflicts: If there are concurrent modifications to the same data by different users, it may lead to conflicts that prevent saving.

    5. Custom Code or Add-ons: If there are custom developments or third-party add-ons, they might interfere with the standard saving process.

    Solutions:

    1. Check Validation Rules: Review the data being entered to ensure that all mandatory fields are filled out correctly and that the data adheres to the required formats and business rules.

    2. Review User Permissions: Ensure that the user has the appropriate permissions to perform the save operation. This may involve checking user roles and authorizations in the system.

    3. Check System Status: Look for any system alerts or notifications that might indicate a broader issue affecting system performance or functionality. If necessary, contact your IT support team.

    4. Retry Saving: Sometimes, simply retrying the save operation after a short period can resolve temporary issues.

    5. Consult Logs: Check the application logs for more detailed error messages that can provide insights into what went wrong during the save operation.

    6. Contact Support: If the issue persists, consider reaching out to SAP support or your internal IT support team for further assistance. Provide them with the error message and any relevant context to help diagnose the issue.

    Related Information:

    • SAP Notes and Documentation: Check SAP's official documentation or SAP Notes for any known issues related to this error message. There may be specific patches or updates that address the problem.
    • Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed, and solutions shared.
    • Testing in a Sandbox: If possible, replicate the issue in a sandbox environment to test potential solutions without affecting production data.

    By following these steps, you should be able to identify the cause of the error and implement a suitable solution.

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