How to use VI82X - Incompleteness: FT Customer Data

SAP Transaction Code - Details

• Transaction Code: VI82X

  Description: Incompleteness: FT Customer Data

  Release: S/4HANA and ECC 6

• • Program: RVEXKOKU

    Screen: 1000

    Authorization Object:

  • Development Package: VEI

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: VI82X - Incompleteness: FT Customer Data

  
  Overview:
  The SAP transaction code VI82X is used to check the completeness of customer data in the system. It is used to identify any missing or incomplete data that needs to be filled in order to ensure that all customer data is up-to-date and accurate. 
  
  Functionality: 
  The VI82X transaction code allows users to check the completeness of customer data in the system. It can be used to identify any missing or incomplete data that needs to be filled in order to ensure that all customer data is up-to-date and accurate. The transaction code also allows users to view a list of incomplete customer records and take action on them. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code VI82X in the command field. 
  2. Select the “Incompleteness FT Customer Data” option from the menu. 
  3. Select the “Display” option from the menu. 
  4. A list of incomplete customer records will be displayed on the screen. 
  5. Select a record from the list and take action on it (e.g., edit, delete, etc.). 
  6. Once you have taken action on the record, select “Save” from the menu to save your changes. 
  7. Repeat steps 4-6 for any other incomplete records in the list. 
  8. When you are finished, select “Back” from the menu to return to the main menu. 
  
  Other Recommendations: 
  It is recommended that users regularly use this transaction code to check for any incomplete customer data in order to ensure that all customer data is up-to-date and accurate. Additionally, users should take action on any incomplete records as soon as possible in order to avoid any potential issues or delays caused by incomplete customer data.