How To Fix RSANA_UMM_API164 - Start processing predictive scenario &1


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSANA_UMM_API - UMM API Messages

  • Message number: 164

  • Message text: Start processing predictive scenario &1

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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 RSANA_UMM_API164 - Start processing predictive scenario &1 ?

    The SAP error message RSANA_UMM_API164, which indicates an issue with starting the processing of a predictive scenario, typically arises in the context of SAP Analytics or SAP Predictive Analytics. This error can occur due to various reasons, including configuration issues, missing authorizations, or problems with the underlying data.

    Possible Causes:

    1. Configuration Issues: The predictive scenario may not be properly configured. This could include missing parameters or incorrect settings in the predictive model.
    2. Data Issues: The data required for the predictive scenario may be incomplete, inconsistent, or not in the expected format.
    3. Authorization Problems: The user attempting to start the predictive scenario may not have the necessary authorizations to execute it.
    4. System Performance: If the system is under heavy load or if there are performance issues, it may prevent the scenario from starting.
    5. Version Compatibility: There may be compatibility issues between different versions of SAP components or between the predictive model and the data source.

    Solutions:

    1. Check Configuration: Review the configuration of the predictive scenario to ensure all parameters are set correctly. Make sure that the model is properly defined and that all necessary settings are in place.
    2. Validate Data: Ensure that the data being used for the predictive scenario is complete and in the correct format. Check for any missing values or inconsistencies that could cause the scenario to fail.
    3. Review Authorizations: Verify that the user has the necessary authorizations to execute the predictive scenario. This may involve checking roles and permissions in the SAP system.
    4. Monitor System Performance: Check the system performance and resource utilization. If the system is under heavy load, consider scheduling the predictive scenario to run during off-peak hours.
    5. Check for Updates: Ensure that all relevant SAP components are up to date. If there are known issues with the current version, applying patches or updates may resolve the problem.
    6. Consult Logs: Review the application logs and system logs for any additional error messages or warnings that could provide more context about the issue.

    Related Information:

    • SAP Notes: Check SAP Notes for any known issues related to the error message RSANA_UMM_API164. SAP Notes often provide specific guidance or patches for known problems.
    • Documentation: Refer to the official SAP documentation for predictive analytics to understand the requirements and best practices for setting up and running predictive scenarios.
    • Community Forums: Engage with the SAP Community or forums where other users may have encountered similar issues. They may provide insights or solutions based on their experiences.

    If the issue persists after trying the above solutions, it may be beneficial to contact SAP support for further assistance.

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