How to use S_P99_41000076 - Statistical Key Figures


SAP Transaction Code - Details

  • Transaction Code: S_P99_41000076

    Description: Statistical Key Figures

    Release: S/4HANA and ECC 6

    Menu Path:

    • Information Systems > Accounting > Real Estate Management > Controlling/Settlements > Controlling RE Objects > Non-Cumulative Values > Statistical Key Figures
    • Information Systems > General Report Selection > Real Estate Management > Controlling/Settlements > Controlling RE Objects > Non-Cumulative Values > Statistical Key Figures
  • Show technical details Hide technical details
    • Program:

      Screen: 0

      Authorization Object:

    • Development Package: FVVI

      Package Description: R/3 appl.dev. for Financial Assets Management: Real estate

      Parent Package: APPL

    • Module/Component: RE

      Description: Real Estate Management


Smart SAP Assistant

  • SAP Tcode: S_P99_41000076 - Statistical Key Figures
    
    Overview: 
    S_P99_41000076 is a SAP transaction code used to access the Statistical Key Figures report. This report provides an overview of the key figures used in the system, such as sales, costs, and profits. It also provides information on the number of documents created and the number of documents posted. 
    
    Functionality: 
    The Statistical Key Figures report provides an overview of the key figures used in the system. It displays information such as sales, costs, and profits. It also provides information on the number of documents created and the number of documents posted. The report can be used to analyze trends in key figures over time and to identify areas where improvements can be made. 
    
    Step-by-step How to Use: 
    1. Enter transaction code S_P99_41000076 into the SAP command field. 
    2. Select the desired key figures from the list provided. 
    3. Select the desired time period for which you want to view data. 
    4. Click “Execute” to generate the report. 
    5. Review the report to analyze trends in key figures over time and identify areas where improvements can be made. 
    
    Other Recommendations: 
    It is recommended that users familiarize themselves with all available key figures before running this report, as this will help them better understand and interpret the data presented in the report. Additionally, users should ensure that they are selecting an appropriate time period for their analysis, as this will ensure that they are viewing accurate data for their analysis.
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