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Message type: E = Error
Message class: RSANA_UMM_API - UMM API Messages
Message number: 573
Message text: Parent and reference predictive scenario must match
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RSANA_UMM_API573
- Parent and reference predictive scenario must match ?The SAP error message RSANA_UMM_API573 indicates that there is a mismatch between the parent and reference predictive scenarios in the context of SAP Analytics (specifically in the area of predictive analytics or machine learning). This error typically arises when you are trying to create or manage predictive scenarios that are expected to be linked or related but do not match in terms of their configuration or settings.
Cause:
- Mismatched Scenarios: The parent predictive scenario and the reference predictive scenario are not aligned. This could be due to differences in their definitions, configurations, or the data they are based on.
- Incorrect Configuration: The scenarios may have been incorrectly set up, leading to inconsistencies in their parameters or attributes.
- Data Issues: The underlying data used for the predictive scenarios may not be compatible or may not meet the requirements for the scenarios to be linked.
Solution:
- Check Scenario Definitions: Review the definitions of both the parent and reference predictive scenarios. Ensure that they are configured correctly and that they match in terms of their parameters and settings.
- Align Data Sources: Ensure that both scenarios are using compatible data sources. If there are discrepancies in the data, resolve them by aligning the datasets.
- Recreate Scenarios: If the scenarios are too misaligned, consider recreating one or both of the scenarios to ensure they match correctly.
- Consult Documentation: Refer to SAP documentation or help resources for specific guidelines on setting up predictive scenarios. This can provide insights into the required configurations and common pitfalls.
- Check for Updates: Ensure that your SAP system is up to date, as there may be patches or updates that address known issues related to predictive analytics.
Related Information:
By following these steps, you should be able to resolve the RSANA_UMM_API573 error and ensure that your predictive scenarios are correctly configured and aligned.
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