How To Fix RSANA_UMM_API162 - Start processing the predictive scenarios

SAP Error Message - Details

• Message type: E = Error

• Message class: RSANA_UMM_API - UMM API Messages

• Message number: 162

• Message text: Start processing the predictive scenarios

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_API162 - Start processing the predictive scenarios ?

  The SAP error message RSANA_UMM_API162 typically relates to issues encountered when starting the processing of predictive scenarios in SAP Analytics. This error can arise due to various reasons, including configuration issues, data inconsistencies, or problems with the predictive model itself.
  Causes:
  
  Configuration Issues: The predictive scenario may not be properly configured in the system. This includes missing parameters or incorrect settings.
  Data Quality: The data being used for the predictive scenario may have inconsistencies, missing values, or may not meet the required format.
  Model Issues: The predictive model itself may have errors or may not be compatible with the data being processed.
  Authorization Problems: The user may not have the necessary authorizations to execute the predictive scenario.
  System Performance: Insufficient system resources or performance issues can also lead to this error.
  
  Solutions:
  
  Check Configuration: Review the configuration settings of the predictive scenario. Ensure that all required parameters are set correctly.
  Data Validation: Validate the data being used for the predictive scenario. Check for missing values, data types, and ensure that the data is clean and consistent.
  Model Review: If applicable, review the predictive model for any errors or compatibility issues. Ensure that the model is correctly trained and ready for use.
  Authorization Check: Verify that the user executing the scenario has the necessary authorizations. If not, adjust the user roles or permissions accordingly.
  System Resources: Monitor system performance and resource usage. If the system is under heavy load, consider optimizing performance or scheduling the scenario during off-peak hours.
  
  Related Information:
  
  SAP Notes: Check SAP Notes related to RSANA_UMM_API162 for any specific patches or updates that may address the issue.
  Documentation: Refer to the official SAP documentation for predictive analytics to understand the prerequisites and best practices for setting up predictive scenarios.
  Community Forums: Engage with SAP community forums or support channels where similar issues may have been discussed, and solutions shared by other users.
  
  If the problem persists after trying the above solutions, it may be beneficial to contact SAP support for further assistance, providing them with detailed information about the error and the context in which it occurs.