How to use CNV_20000_BELNR_CONS - Consistency check for BELNR-BKPF

SAP Transaction Code - Details

• Transaction Code: CNV_20000_BELNR_CONS

  Description: Consistency check for BELNR-BKPF

  Release: S/4HANA and ECC 6

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: CNV_20000

    Package Description: Fiscal year Change Package

    Parent Package: DMIS_APPL_CNV_CONV

  • Module/Component: CA-DT-CNV

    Description: Landscape Transformation for Conversion

Smart SAP Assistant

• SAP Tcode: CNV_20000_BELNR_CONS - Consistency check for BELNR-BKPF

  
  Overview: 
  CNV_20000_BELNR_CONS is a SAP transaction code used to perform a consistency check for BELNR-BKPF. This transaction code is used to ensure that the data in the BELNR-BKPF fields are consistent and accurate. 
  
  Functionality: 
  The CNV_20000_BELNR_CONS transaction code is used to check the consistency of the BELNR-BKPF fields in the SAP system. This transaction code checks for any inconsistencies between the BELNR and BKPF fields, such as incorrect or missing data. It also checks for any inconsistencies between the BELNR and BKPF fields in different documents. 
  
  Step-by-step How to Use: 
  1. Enter the CNV_20000_BELNR_CONS transaction code in the command field. 
  2. Select the “Execute” button to start the consistency check. 
  3. The system will display any inconsistencies found between the BELNR and BKPF fields. 
  4. If any inconsistencies are found, they must be corrected before proceeding with further processing. 
  5. Once all inconsistencies have been corrected, select the “Execute” button again to complete the consistency check. 
  
  Other Recommendations: 
  It is recommended that users regularly run this transaction code to ensure that their data is consistent and accurate. This will help prevent any errors or inconsistencies from occurring in future transactions or processes. Additionally, users should always back up their data before running this transaction code, as it may cause changes to existing data if any inconsistencies are found and corrected.