How To Fix CNV20200372 - Assigned &1 &2 are not merged


CNV20200372 - Overview

  • Message type: E = Error

  • Message class: CNV20200 - Messages for development class CNV_20200

  • Message number: 372

  • Message text: Assigned &1 &2 are not merged

  • Show details Hide details
  • What causes this issue?

    Company codes &V3& are merged.
    Assigned &V1& &V2& are not merged.

    System Response

    Either error or warning (depending on scenario).

    How to fix this error?

    Check the mapping and correct it if necessary.
    As a rule, it is mandatory to merge assigned objects as well.
    However there are the following exceptions from this rule:
    For company codes for number assignment:
    Find out if it is really correct that the company codes should be merged
    without merging the company codes for number assignment (domain BURKSN),
    and if any accompanying activities are required.
    For credit control areas:
    Find out if it is really correct that the company codes should be merged
    without merging the credit control areas, and if any accompanying
    activities are required with regard to credit management.

    Error message extract from SAP system. Copyright SAP SE.


CNV20200372 - Details

  • The SAP error message CNV20200372, which states "Assigned &1 &2 are not merged," typically occurs during data migration or conversion processes, particularly when using the SAP S/4HANA Migration Cockpit or similar tools. This error indicates that there are issues with the merging of data records, often related to master data or transactional data that should be consolidated but are not due to inconsistencies or conflicts.
    
    Cause: Data Inconsistencies: The records that are supposed to be merged may have conflicting or inconsistent data, such as different values in key fields. Missing Relationships: There may be missing relationships or dependencies between the records that need to be merged. Incorrect Mapping: The mapping configuration for the data migration may not be set up correctly, leading to issues in identifying which records should be merged. Duplicate Records: There may be duplicate records in the source data that are not being recognized as duplicates due to differences in key fields

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