How To Fix CM_MDQLTYMINEDRULE013 - Mined rule &1 is linked to a data quality rule. Remove link to continue.

SAP Error Message - Details

• Message type: E = Error

• Message class: CM_MDQLTYMINEDRULE - Messages for Rule Mining Run

• Message number: 013

• Message text: Mined rule &1 is linked to a data quality rule. Remove link to continue.

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message CM_MDQLTYMINEDRULE013 - Mined rule &1 is linked to a data quality rule. Remove link to continue. ?

  The SAP error message CM_MDQLTYMINEDRULE013 indicates that a mined rule is linked to a data quality rule, and in order to proceed with your operation (such as deleting or modifying the mined rule), you need to remove this link first.
  Cause:
  This error typically occurs in the context of SAP Data Quality Management (DQM) or SAP Information Steward, where mined rules (which are derived from data analysis) are associated with data quality rules (which define the standards for data quality). The system prevents you from deleting or modifying a mined rule that is still in use by a data quality rule to maintain data integrity and consistency.
  Solution:
  To resolve this error, you need to follow these steps:
  
  
  Identify the Linked Data Quality Rule:
  
  Use the SAP interface to find out which data quality rule is linked to the mined rule. This can usually be done through the Data Quality Management or Information Steward workbench.
  
  
  
  Remove the Link:
  
  Once you have identified the data quality rule that is linked to the mined rule, you will need to either:
  
  Modify the data quality rule to remove the reference to the mined rule.
  Delete the data quality rule if it is no longer needed (ensure that this does not affect other processes).
  
  
  
  
  
  Confirm Changes:
  
  After removing the link, confirm that the mined rule is no longer associated with any data quality rules.
  
  
  
  Retry the Operation:
  
  Once the link has been removed, you should be able to proceed with your original operation (e.g., deleting or modifying the mined rule).
  
  
  
  Related Information:
  
  Data Quality Rules: These are rules that define acceptable data quality standards and can include checks for completeness, accuracy, consistency, and validity.
  Mined Rules: These are rules generated from data mining processes that help in identifying patterns and anomalies in data.
  SAP Documentation: For more detailed information, refer to the official SAP documentation or help resources related to Data Quality Management and Information Steward.
  
  Best Practices:
  
  Always back up your data and configurations before making changes to rules.
  Document any changes made to data quality rules and mined rules for future reference.
  Regularly review and clean up unused or outdated rules to maintain an efficient data quality framework.
  
  If you continue to experience issues or if the steps above do not resolve the error, consider reaching out to your SAP support team or consulting the SAP community for further assistance.