How to use CNV_10100_03 - Convert sets


SAP Transaction Code - Details

  • Transaction Code: CNV_10100_03

    Description: Convert sets

    Release: S/4HANA and ECC 6

  • Show technical details Hide technical details
    • Program: RGX_SETS_TO_40

      Screen: 1000

      Authorization Object:

    • Development Package: CNV_10100

      Package Description: Conversion of Sets

      Parent Package: DMIS_APPL_CNV_CONV

    • Module/Component: CA-DT-CNV

      Description: Landscape Transformation for Conversion


Smart SAP Assistant

  • SAP Tcode: CNV_10100_03 - Convert sets
     of codes
    
    Overview: 
    CNV_10100_03 is a SAP transaction code used to convert sets of codes. It is used to convert the codes from one system to another, allowing for the transfer of data between different systems. This transaction code is part of the SAP Conversion Tools package. 
    
    Functionality: 
    CNV_10100_03 allows users to convert sets of codes from one system to another. This transaction code can be used to transfer data between different systems, such as from an old system to a new system. It can also be used to convert codes from one language to another, allowing for the translation of data between different languages. 
    
    Step-by-step How to Use: 
    1. Log into the SAP system and enter the transaction code CNV_10100_03. 
    2. Select the source and target systems for the conversion. 
    3. Select the source and target codes that need to be converted. 
    4. Enter any additional parameters that may be required for the conversion process. 
    5. Execute the conversion process and review the results. 
    6. Save any changes that have been made and exit the transaction code. 
    
    Other Recommendations: 
    It is important to ensure that all source and target codes are correct before executing the conversion process, as incorrect codes may lead to errors or incorrect results. Additionally, it is recommended that users test out the conversion process on a small set of data before running it on larger sets of data, in order to ensure that it is working correctly and producing accurate results.
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