How to use /PRA/FP_VAR_SAL_MO - ONRR-2014 Variance by Sales Month


SAP Transaction Code - Details

  • Transaction Code: /PRA/FP_VAR_SAL_MO

    Description: ONRR-2014 Variance by Sales Month

    Release: S/4HANA and ECC 6

  • Show technical details Hide technical details
    • Program: /PRA/R_FP_DISPLAY_VARIANCE_RPT

      Screen: 1000

      Authorization Object:

    • Development Package: /PRA/ONRR_2014

      Package Description: ONRR-2014

      Parent Package: /PRA/

    • Module/Component: IS-OIL-PRA

      Description: Production and Revenue Accounting


Smart SAP Assistant

  • SAP Tcode: /PRA/FP_VAR_SAL_MO - ONRR-2014 Variance by Sales Month
    
    Overview:
    The SAP transaction code /PRA/FP_VAR_SAL_MO - ONRR-2014 Variance by Sales Month is used to analyze the variance between the actual and expected sales figures for a given month. It provides a detailed report of the sales figures for each month, allowing users to identify any discrepancies and take corrective action. 
    
    Functionality: 
    This transaction code allows users to view the actual and expected sales figures for a given month. It also provides a comparison of the two figures, allowing users to identify any discrepancies and take corrective action. Additionally, it provides a detailed report of the sales figures for each month, allowing users to track their performance over time. 
    
    Step-by-Step How to Use 
    1. Enter the transaction code /PRA/FP_VAR_SAL_MO - ONRR-2014 Variance by Sales Month into the command field. 
    2. Enter the desired month into the selection screen. 
    3. Execute the report. 
    4. The report will display the actual and expected sales figures for the selected month, as well as a comparison of the two figures. 
    5. Analyze the report to identify any discrepancies between the actual and expected sales figures. 
    6. Take corrective action as needed. 
    
    Other Recommendations: 
    It is recommended that users regularly review this report in order to track their performance over time and identify any discrepancies between actual and expected sales figures. Additionally, users should take corrective action as needed in order to ensure that their sales goals are met.
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