How To Fix CRM_CUMULATED_I002 - Two data records available with identical logical keys

CRM_CUMULATED_I002 - Overview

• Message type: E = Error

• Message class: CRM_CUMULATED_I - Error messages for quantity/value update

• Message number: 002

• Message text: Two data records available with identical logical keys

What causes this issue?

Data inconsistency in table CRMD_CUMULATED_I or in one of the
corresponding buffers.
Two or more records exist with the same logical key for two different
GUIDs (OBJECT_GUID).
ITEM_GUID = <(>&<)>V1<(>&<)>
CUM_TYPE = <(>&<)>V2<(>&<)>
CUM_RULE = <(>&<)>V3&.

System Response

Further processing is terminated.

How to fix this error?

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

Procedure for System Administrators

Attempt to find out the cause and, if necessary, clean up the database.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message CRM_CUMULATED_I002 - Two data records available with identical logical keys ?

  The SAP error message CRM_CUMULATED_I002 indicates that there are two data records in the system that have identical logical keys, which leads to ambiguity when the system tries to process or retrieve data. This situation typically arises in the context of CRM (Customer Relationship Management) data, where unique identification of records is crucial for maintaining data integrity.
  
  Cause:
  
  Duplicate Records: The most common cause of this error is the existence of duplicate records in the database. This can happen due to data import processes, manual entry errors, or system integration issues.
  Data Synchronization Issues: If data is being synchronized between different systems (e.g., between CRM and ERP), inconsistencies can lead to duplicate entries.
  Incorrect Configuration: Sometimes, the configuration settings in the CRM system may not enforce uniqueness properly, allowing duplicates to be created.
  
  
  Solution:
  
  Identify Duplicates: Use transaction codes like SE16 or SE11 to query the relevant database tables and identify the records that have the