How to use /PRA/DVOLOPT_VDOIMKT - Data Volume Optimization - VDOI MKT


SAP Transaction Code - Details

  • Transaction Code: /PRA/DVOLOPT_VDOIMKT

    Description: Data Volume Optimization - VDOI MKT

    Release: S/4HANA only

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    • Program: /PRA/DATA_VOL_OPT_VDOI_MKT_DEL

      Screen: 1000

      Authorization Object: S_TCODE

    • Development Package: /PRA/REVENUE_DISTRIBUTION

      Package Description: Revenue distribution

      Parent Package: /PRA/

    • Module/Component: IS-OIL-PRA

      Description: Production and Revenue Accounting


Smart SAP Assistant

  • SAP Tcode: /PRA/DVOLOPT_VDOIMKT - Data Volume Optimization - VDOI MKT
    
    Overview:
    The SAP transaction code /PRA/DVOLOPT_VDOIMKT is used to optimize the data volume of the VDOI MKT (Value-Driven Optimization of Inventory Market) application. This application is used to optimize inventory levels and reduce costs associated with inventory management. 
    
    Functionality: 
    The /PRA/DVOLOPT_VDOIMKT transaction code allows users to reduce the data volume of the VDOI MKT application by removing unnecessary data. This helps to improve the performance of the application and reduce costs associated with managing large amounts of data. The transaction code also allows users to view and analyze the data that has been removed, as well as to restore any deleted data if needed. 
    
    Step-by-step How to Use: 
    1. Log into SAP and enter the /PRA/DVOLOPT_VDOIMKT transaction code in the command field. 
    2. Select the “Data Volume Optimization” option from the menu. 
    3. Select the “Delete Data” option from the menu. 
    4. Select the data that you want to delete from the list of available data sets. 
    5. Confirm your selection and click “OK” to delete the selected data sets. 
    6. To view and analyze the deleted data, select the “View Deleted Data” option from the menu. 
    7. To restore any deleted data, select the “Restore Deleted Data” option from the menu and follow the on-screen instructions. 
    
    Other Recommendations: 
    It is recommended that users only delete data that is no longer needed in order to avoid any potential issues with performance or accuracy of results. Additionally, it is recommended that users regularly review their deleted data in order to ensure that all necessary information is being retained in their system.
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