How To Fix RSANA_UMM_API152 - Error occurred while generating the apply for predictive scenario &1


RSANA_UMM_API152 - Overview

  • Message type: E = Error

  • Message class: RSANA_UMM_API - UMM API Messages

  • Message number: 152

  • Message text: Error occurred while generating the apply for 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.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message RSANA_UMM_API152 - Error occurred while generating the apply for predictive scenario &1 ?
    The SAP error message RSANA_UMM_API152 typically occurs in the context of the SAP Analytics (SAP BW/4HANA or SAP BW on HANA) when there is an issue with generating an application for a predictive scenario. This error can arise due to various reasons, and here are some common causes, potential solutions, and related information:
    Causes:
    
    Data Issues: The data being used for the predictive scenario may have inconsistencies, missing values, or incorrect formats.
    Configuration Problems: The predictive scenario may not be properly configured, including missing parameters or incorrect settings.
    Authorization Issues: The user executing the operation may not have the necessary authorizations to access the required data or execute the predictive model.
    Technical Errors: There may be underlying technical issues, such as problems with the underlying database or system performance issues.
    Version Compatibility: The version of the predictive analytics tools or the SAP system may not be compatible with the data or the predictive scenario being used.
    
    Solutions:
    
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