How To Fix RSANA_UMM_API160 - &1 predictive scenarios have not been processed correctly

SAP Error Message - Details

• Message type: E = Error

• Message class: RSANA_UMM_API - UMM API Messages

• Message number: 160

• Message text: &1 predictive scenarios have not been processed correctly

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSANA_UMM_API160 - &1 predictive scenarios have not been processed correctly ?

  The SAP error message RSANA_UMM_API160 typically indicates that there was an issue with processing predictive scenarios in the SAP system, particularly in the context of the SAP Analytics Cloud or SAP BW (Business Warehouse) environments. This error can arise due to various reasons, including configuration issues, data inconsistencies, or system performance problems.
  Causes:
  
  Data Inconsistencies: The data required for the predictive scenario may be incomplete or inconsistent, leading to processing failures.
  Configuration Issues: Incorrect settings in the predictive scenario configuration can prevent successful execution.
  Performance Issues: If the system is under heavy load or if there are resource constraints, it may not be able to process the predictive scenarios effectively.
  Missing Authorizations: The user executing the predictive scenario may lack the necessary authorizations to access the required data or execute the scenario.
  Technical Errors: There may be underlying technical issues, such as bugs in the software or problems with the underlying database.
  
  Solutions:
  
  Check Data Integrity: Ensure that the data being used for the predictive scenario is complete and consistent. Validate the data sources and correct any discrepancies.
  Review Configuration: Go through the configuration settings of the predictive scenario to ensure they are set up correctly. This includes checking parameters, data sources, and any filters applied.
  Monitor System Performance: Check the system performance metrics to see if there are any resource constraints. If necessary, optimize the system or schedule the processing during off-peak hours.
  Verify Authorizations: Ensure that the user executing the scenario has the necessary authorizations to access the required data and execute the predictive scenario.
  Check Logs and Traces: Review the application logs and traces for any additional error messages or warnings that could provide more context about the failure.
  Consult SAP Notes: Look for relevant SAP Notes or Knowledge Base Articles (KBAs) that may address this specific error. SAP frequently updates its documentation with solutions for known issues.
  Contact SAP Support: If the issue persists after trying the above solutions, consider reaching out to SAP Support for further assistance. Provide them with detailed information about the error, including any logs or traces.
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for predictive analytics and the specific module you are using (e.g., SAP BW, SAP Analytics Cloud).
  Community Forums: Check SAP Community forums or other user groups where similar issues may have been discussed.
  Training and Resources: Consider training resources or workshops on predictive analytics in SAP to better understand the configuration and execution of predictive scenarios.
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.