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Transaction Code: CNV_20800_ME_KUNNR
Description: Mapping-Vorlage f. Kunden-Nr.
Release: S/4HANA and ECC 6
Program:
Screen: 0
Authorization Object:
Development Package: CNV_20800
Package Description: Customer Number Conversion
Parent Package: DMIS_APPL_CNV_CONV
Module/Component: CA-DT-CNV
Description: Landscape Transformation for Conversion
Overview: CNV_20800_ME_KUNNR is a SAP transaction code used to create a mapping template for customer numbers. This template is used to map customer numbers from one system to another. It is part of the SAP Data Migration Workbench, which is used to migrate data from one system to another. Functionality: The CNV_20800_ME_KUNNR transaction code allows users to create a mapping template for customer numbers. This template is used to map customer numbers from one system to another. The template can be used to map customer numbers from different systems, such as SAP ERP, SAP CRM, and SAP SRM. The template can also be used to map customer numbers from different countries or regions. Step-by-step How to Use: 1. Open the CNV_20800_ME_KUNNR transaction code in the SAP Data Migration Workbench. 2. Select the source and target systems for the mapping template. 3. Enter the customer number fields that need to be mapped from the source system to the target system. 4. Enter the mapping rules for each field. 5. Save the mapping template and activate it. 6. Test the mapping template by running a test migration with sample data. 7. Once the test migration is successful, run the actual migration with real data. Other Recommendations: It is recommended that users create a backup of their data before running any migrations with CNV_20800_ME_KUNNR transaction code. Additionally, users should ensure that all of their mapping rules are correct before running any migrations, as incorrect mappings can lead to data loss or corruption. Finally, users should always test their migrations with sample data before running them with real data, as this will help ensure that all of their mappings are correct and that no data will be lost or corrupted during the migration process.
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