GRE9 - Extracts: User settings, coll.maint.


SAP Transaction Code - Details

  • Transaction Code: GRE9

    Description: Extracts: User settings, coll.maint.

    Release: S/4HANA and ECC 6

  • Show technical details Hide technical details
    • Program: REPPXXXN

      Screen: 1000

      Authorization Object:

    • Development Package: KBAS

      Package Description: Overhead Cost Controlling

      Parent Package: APPL

    • Module/Component: CO-OM

      Description: Overhead Cost Controlling


Smart SAP Assistant

  • SAP Tcode: GRE9 - Extracts: User settings, coll.maint.
    
    Overview:
    The SAP transaction code GRE9 is used to extract user settings and collective maintenance data from the SAP system. This data can then be used for further analysis or reporting. 
    
    Functionality: 
    The GRE9 transaction code allows users to extract user settings and collective maintenance data from the SAP system. This data can be used for further analysis or reporting. The extracted data includes user settings, such as user roles, authorizations, and profiles, as well as collective maintenance data, such as organizational units, cost centers, and business areas. 
    
    Step-by-step How to Use: 
    1. Log into the SAP system using your user ID and password. 
    2. Enter the transaction code GRE9 in the command field. 
    3. Select the type of data you want to extract (user settings or collective maintenance). 
    4. Select the specific user settings or collective maintenance data you want to extract. 
    5. Enter a name for the file you want to save the extracted data in. 
    6. Click “Execute” to start the extraction process. 
    7. Once the extraction is complete, you can view the extracted data in the file you specified in step 5. 
    
    Other Recommendations: 
    It is recommended that users back up their extracted data regularly in order to ensure that they have a copy of their data in case of any unexpected system errors or malfunctions. Additionally, users should be aware that extracting large amounts of data may take some time and may require additional resources from the SAP system.
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