How to use OKXC - Reorg. Viewpflege (Stammdaten)

SAP Transaction Code - Details

• Transaction Code: OKXC

  Description: Reorg. Viewpflege (Stammdaten)

  Release: S/4HANA and ECC 6

  Menu Path:

  • Accounting > Enterprise Controlling > EIS > Environment > Configuration menu > Tools > Data Basis > Master Data > View Maintenance Modules
  • Accounting > Enterprise Controlling > EIS > Environment > Business Planning > Environment > Configuration menu > Tools > Data Basis > Master Data > View Maintenance Modules
  • Accounting > Enterprise Controlling > Business Planning > Environment > Configuration menu > Tools > Data Basis > Master Data > View Maintenance Modules

• • Program: RKCREOMV

    Screen: 0

    Authorization Object:

  • Development Package: KC

    Package Description: Cost Accounting Controlling EIS

    Parent Package: APPL

  • Module/Component: EC-EIS-DCM

    Description: Data Collection

Smart SAP Assistant

• SAP Tcode: OKXC - Reorg. Viewpflege (Stammdaten)

  
  Overview:
  OKXC is a transaction code used in SAP to maintain the reorganization view of master data. It is used to maintain the master data in an organized and structured way. This transaction code helps to ensure that the master data is up-to-date and accurate. 
  
  Functionality: 
  OKXC allows users to reorganize the master data in a structured way. It helps to ensure that the master data is up-to-date and accurate. The transaction code also allows users to create new views of the master data, as well as delete or modify existing views. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code OKXC in the command field. 
  2. Select the view you want to maintain from the list of available views. 
  3. Select the action you want to perform (create, delete, or modify). 
  4. Enter the necessary information for the selected action. 
  5. Save your changes and exit the transaction code. 
  
  Other Recommendations: 
  It is important to ensure that all changes made using OKXC are properly documented and tracked for future reference. Additionally, it is recommended that users regularly review their master data views to ensure accuracy and completeness.