How To Fix CNV_20100354 - Org.indep. conv. with unique target values for &1. Field is converted.

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV_20100 - Messageclass for chart of account conversion

• Message number: 354

• Message text: Org.indep. conv. with unique target values for &1. Field is converted.

What causes this issue?

The conversion for this table/field is done independent of the
organizational unit, hence no chart of accounts information is available
There is exactly one target value for the source value &V1& in the
mapping for G/L accounts or cost elements
Nevertheless the value &V1& does also exist in non-participating chart
of accounts

System Response

Due to the fact that the conversion is done independent of
organizational units it is assumed that the value &V1& belongs to the
chart of accounts specified in the mapping for this value.
The affected value &V1& is converted to &V2& independent of
organizational units.

How to fix this error?

Check if this table is converted correctly.
If no, specify a proper determination path for org. units for affected
fields.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message CNV_20100354 - Org.indep. conv. with unique target values for &1. Field is converted. ?

  The SAP error message CNV_20100354 typically occurs during data migration or conversion processes, particularly when using the SAP S/4HANA Migration Cockpit or other data conversion tools. This error indicates that there is an issue with the conversion of organizational independent data, specifically that the target values for a certain field are expected to be unique, but they are not.
  Cause:
  The error message suggests that the system has encountered a situation where the source data contains multiple entries that map to the same target value for the specified field. This can happen due to:
  
  Duplicate Entries: The source data may have duplicate entries for the organizational unit or other relevant fields that are supposed to be unique in the target system.
  Mapping Issues: The mapping configuration may not be set up correctly, leading to conflicts in how source values are translated to target values.
  Data Quality Issues: The source data may have inconsistencies or errors that result in non-unique values being generated during the conversion process.
  
  Solution:
  To resolve this error, you can take the following steps:
  
  
  Check Source Data: Review the source data for duplicates or inconsistencies. Ensure that the values intended for conversion are unique and correctly formatted.
  
  
  Adjust Mapping: If you are using a mapping table or configuration, verify that it is set up correctly. Ensure that each source value maps to a unique target value.
  
  
  Data Cleansing: Perform data cleansing on the source data to eliminate duplicates or correct any inconsistencies. This may involve:
  
  Removing duplicate records.
  Merging records where appropriate.
  Correcting any erroneous data entries.
  
  
  
  Test Conversion: After making the necessary adjustments, re-run the conversion process in a test environment to ensure that the error is resolved.
  
  
  Consult Documentation: Refer to SAP documentation or notes related to the specific migration or conversion process you are using. There may be specific guidelines or best practices that can help you avoid this error.
  
  
  Seek Support: If the issue persists, consider reaching out to SAP support or consulting with an SAP expert who can provide more tailored assistance based on your specific scenario.
  
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional context.
  Migration Cockpit Documentation: Review the official SAP documentation for the Migration Cockpit or the specific tool you are using for data conversion.
  Data Migration Best Practices: Familiarize yourself with best practices for data migration to minimize issues during the conversion process.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to successfully complete your data conversion.