How To Fix MDQ_RULEMGMT_COMMON013 - Rule &1 is still used in at least one data quality evaluation.

SAP Error Message - Details

• Message type: E = Error

• Message class: MDQ_RULEMGMT_COMMON - MDQ Rule Management Common Messages

• Message number: 013

• Message text: Rule &1 is still used in at least one data quality evaluation.

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message MDQ_RULEMGMT_COMMON013 - Rule &1 is still used in at least one data quality evaluation. ?

  The SAP error message MDQ_RULEMGMT_COMMON013 indicates that a specific data quality rule (identified by the placeholder &1) is still being utilized in at least one data quality evaluation. This typically occurs when you attempt to delete or modify a data quality rule that is currently in use, which is not allowed to maintain data integrity and consistency.
  Cause:
  
  Active Usage: The rule you are trying to delete or modify is actively referenced in one or more data quality evaluations or processes.
  Dependencies: There may be dependencies or links to other objects or processes that rely on this rule.
  
  Solution:
  To resolve this error, you can follow these steps:
  
  
  Identify Usage:
  
  Check which data quality evaluations are using the rule. You can do this by navigating to the relevant data quality management area in SAP and reviewing the evaluations or rules that reference the rule in question.
  
  
  
  Remove References:
  
  If you find that the rule is indeed being used, you will need to either:
  
  Remove the rule from the evaluations where it is being used.
  Modify the evaluations to use a different rule if applicable.
  
  
  
  
  
  Delete or Modify:
  
  Once you have removed all references to the rule, you should be able to delete or modify it without encountering the error.
  
  
  
  Documentation:
  
  Ensure that you document any changes made to the evaluations or rules for future reference and to maintain clarity in your data quality management processes.
  
  
  
  Related Information:
  
  Data Quality Management: Understanding how data quality rules are structured and utilized within SAP can help prevent similar issues in the future.
  SAP Documentation: Refer to the official SAP documentation for Data Quality Management for detailed guidance on managing rules and evaluations.
  Transaction Codes: Familiarize yourself with relevant transaction codes (like MDQ_RULE, MDQ_EVAL, etc.) that can help you navigate the data quality management functionalities in SAP.
  
  By following these steps, you should be able to resolve the error and manage your data quality rules effectively.