How To Fix RSANA_UMM_API595 - Regeneration started for &1 predictive dcenarios.

SAP Error Message - Details

• Message type: E = Error

• Message class: RSANA_UMM_API - UMM API Messages

• Message number: 595

• Message text: Regeneration started for &1 predictive dcenarios.

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSANA_UMM_API595 - Regeneration started for &1 predictive dcenarios. ?

  The SAP error message RSANA_UMM_API595 indicates that a regeneration process has started for a predictive scenario in the SAP Analytics (SAP BW/4HANA or SAP BW on HANA) environment. This message is typically informational and not necessarily an error, but it can indicate that there is a process that is currently running or has been triggered.
  Cause:
  
  Regeneration Triggered: The regeneration of predictive scenarios can be triggered by various actions, such as changes in the underlying data model, updates to the predictive model, or manual initiation of the regeneration process.
  Data Changes: If there are changes in the data that the predictive scenario relies on, the system may automatically start a regeneration to ensure that the predictions are based on the most current data.
  Scheduled Jobs: Sometimes, regeneration can be part of a scheduled job that runs at specific intervals to refresh the predictive models.
  
  Solution:
  
  Monitor the Process: Since this message indicates that a regeneration has started, you should monitor the process to see if it completes successfully. You can check the job logs in the SAP system to see the status of the regeneration.
  Check for Errors: If the regeneration does not complete successfully, check for any error messages in the job logs that may provide more context on what went wrong.
  Review Predictive Scenario Configuration: Ensure that the predictive scenario is correctly configured and that all necessary data sources are available and accessible.
  Performance Considerations: If regeneration takes too long or fails frequently, consider reviewing the performance of the underlying data models and optimizing them if necessary.
  Consult Documentation: Refer to SAP documentation or notes related to predictive analytics and the specific predictive scenario you are working with for any known issues or additional troubleshooting steps.
  
  Related Information:
  
  SAP Notes: Check SAP Notes for any known issues related to predictive scenarios and regeneration processes.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have found.
  System Logs: Review system logs (transaction SM21) for any related errors or warnings that may provide additional context.
  Transaction Codes: Familiarize yourself with relevant transaction codes such as RSANALYZE for analyzing predictive scenarios and RSPC for monitoring process chains.
  
  If the regeneration process is taking an unusually long time or is failing, it may be necessary to involve your SAP Basis team or a technical consultant to investigate further.