How To Fix CRM_UIU_ORGMAN003 - Attribute row could not be copied

CRM_UIU_ORGMAN003 - Overview

• Message type: E = Error

• Message class: CRM_UIU_ORGMAN - Message class for Service UIU Orgman

• Message number: 003

• Message text: Attribute row could not be copied

What causes this issue?

The system could not copy this attribute row. There may be several
reasons for this:
-> the orgunit/position could not be locked
-> the attribute is not allowed to have more than one value
-> the attribute's value is inherited and cannot be changed

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

System Response

The system cannot copy the selected attribute row.

How to fix this error?

Check whether the view is in the edit mode or not. If so, check whether
the customizing allows to maintain multiple values for this customizing.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message CRM_UIU_ORGMAN003 - Attribute row could not be copied ?

  The SAP error message CRM_UIU_ORGMAN003 ("Attribute row could not be copied") typically occurs in the context of the SAP Customer Relationship Management (CRM) module, particularly when dealing with organizational management or when trying to copy attributes in the UI.
  
  Cause:
  This error can arise due to several reasons, including:
  
  Data Integrity Issues: The source data you are trying to copy may have inconsistencies or may not meet the required criteria for copying.
  Missing Attributes: The attributes you are trying to copy may not exist in the target context or may not be defined properly.
  Authorization Issues: The user may not have the necessary permissions to perform the copy operation.
  Technical Issues: There may be a bug or a technical issue in the system that is preventing the operation from completing successfully.
  
  
  Solution:
  To resolve the error, you can try the following steps:
  
  
  Check Data Integrity:
  
  Ensure that the source data is complete and valid. Look for any missing or incorrect