How to use FNF9 - Rollover: Evaluations

SAP Transaction Code - Details

• Transaction Code: FNF9

  Description: Rollover: Evaluations

  Release: S/4HANA and ECC 6

  Menu Path:

  • Accounting > Bank Applications > Loans Management > Position Management > Rollover > Evaluations > Rollover Statistics

• • Program: RFVDPA01

    Screen: 0

    Authorization Object:

  • Development Package: FVVD

    Package Description: Treasury Loans

    Parent Package: FVVD_ZBASIS

  • Module/Component: FS-CML

    Description: Loans Management

Smart SAP Assistant

• SAP Tcode: FNF9 - Rollover: Evaluations

  
  Overview:
  The SAP transaction code FNF9 is used to rollover evaluations in the system. This code allows users to transfer data from one period to another, making it easier to track and analyze performance over time. 
  
  Functionality: 
  The FNF9 transaction code allows users to rollover evaluations from one period to the next. This includes transferring data such as sales figures, customer feedback, and other performance metrics. The code also allows users to view the data in different formats, such as tables or graphs, for easier analysis. 
  
  Step-by-step How to Use: 
  To use the FNF9 transaction code, follow these steps 
  1. Log into your SAP system and enter the FNF9 transaction code. 
  2. Select the period you want to rollover evaluations from. 
  3. Select the period you want to rollover evaluations to. 
  4. Select the type of evaluation you want to rollover (e.g., sales figures, customer feedback, etc.). 
  5. Select the format you want to view the data in (e.g., table or graph). 
  6. Click “Rollover” to transfer the data from one period to another. 
  7. Review the results and make any necessary changes or adjustments. 
  8. Click “Save” when you are finished. 
  
  Other Recommendations: 
  When using the FNF9 transaction code, it is important to review the results carefully before saving them in order to ensure accuracy and avoid any potential errors or discrepancies in your data. Additionally, it is recommended that users take advantage of the different formats available for viewing data in order to gain a better understanding of their performance over time.