How to use ICLE12 - BDT-Event: Field Grouping

SAP Transaction Code - Details

• Transaction Code: ICLE12

  Description: BDT-Event: Field Grouping

  Release: S/4HANA and ECC 6

• • Program: BUSVIEWS

    Screen: 1000

    Authorization Object:

  • Development Package: ICL_EVENT

    Package Description: FS-CM: Claim Bundle

    Parent Package: FS-CM

  • Module/Component: FS-CM

    Description: Claims Management

Smart SAP Assistant

• SAP Tcode: ICLE12 - BDT-Event: Field Grouping

  
  Overview:
  The SAP transaction code ICLE12 is used to create and maintain field groupings in the Business Data Tool (BDT). It allows users to group fields together in order to simplify the data entry process. This transaction code is part of the Business Data Tool (BDT) application, which is used to manage and analyze business data. 
  
  Functionality: 
  The ICLE12 transaction code allows users to create and maintain field groupings in the BDT. This helps to simplify the data entry process by allowing users to quickly select a group of fields instead of having to manually enter each field individually. The field groupings can be used for various purposes, such as creating reports or analyzing data. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code ICLE12 into the SAP command field. 
  2. Select the “Create” button to create a new field grouping. 
  3. Enter a name for the field grouping and select the fields that should be included in the grouping. 
  4. Select “Save” to save the field grouping. 
  5. To edit an existing field grouping, select it from the list and then select “Change”. 
  6. Make any necessary changes and then select “Save” to save the changes. 
  7. To delete a field grouping, select it from the list and then select “Delete”. 
  
  Other Recommendations: 
  It is recommended that users take advantage of the ICLE12 transaction code when creating or editing field groupings in the BDT application. This will help to simplify the data entry process and make it easier for users to quickly access and analyze their business data.