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How to use RMRB - Dataset Management


SAP Transaction Code - Details

  • Transaction Code: RMRB

    Description: Dataset Management

    Release: S/4HANA and ECC 6

    Menu Path:

    • Accounting > Financial Supply Chain Management > Treasury and Risk Management > Market Risk Analyzer > Tools > Back Testing > Manage Datasets
  • Show technical details Hide technical details
    • Program: RJBRSTDA

      Screen: 1000

      Authorization Object:

    • Development Package: FTBB

      Package Description: Risk Management Basis

      Parent Package: FS_SEM_TRMAN

    • Module/Component: FIN-FSCM-TRM-MR

      Description: Market Risk Analyzer


Smart SAP Assistant

  • SAP Tcode: RMRB - Dataset Management
    
    Overview:
    RMRB is a transaction code used in SAP to manage datasets. It is used to create, change, and delete datasets in the system. It also allows users to view and maintain the data stored in the datasets. 
    
    Functionality: 
    RMRB provides users with a range of functions for managing datasets. These include creating new datasets, changing existing datasets, deleting datasets, and viewing and maintaining the data stored in the datasets. The transaction code also allows users to view the structure of the dataset and its associated fields. 
    
    Step-by-step How to Use: 
    1. Enter transaction code RMRB into the command field. 
    2. Select the “Create” option from the menu bar. 
    3. Enter the name of the dataset you wish to create and select “Create” again. 
    4. Enter the fields you wish to include in your dataset and select “Save” when finished. 
    5. Select “Activate” to activate your dataset. 
    6. To view or maintain your dataset, select “Display” from the menu bar and enter your dataset name. 
    7. To change or delete your dataset, select “Change” or “Delete” from the menu bar respectively and enter your dataset name. 
    
    Other Recommendations: 
    It is important to note that when creating or changing a dataset, all changes must be saved before they can be activated. Additionally, it is recommended that users familiarize themselves with the structure of their datasets before making any changes or deletions as this can help prevent errors or data loss.
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