SOY3 - SAPoffice: Statistics Evaluation

SAP Transaction Code - Details

• Transaction Code: SOY3

  Description: SAPoffice: Statistics Evaluation

  Release: S/4HANA and ECC 6

  Menu Path:

  • Tools > Business Communication > Office > Statistics > Evaluation

• • Program: RSSOSTVW

    Screen: 1000

    Authorization Object:

  • Development Package: SO

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

AnswerBot

• SAP Tcode: SOY3 - SAPoffice: Statistics Evaluation

  
  Overview:
  The SAP transaction code SOY3 is used to access the SAPoffice: Statistics Evaluation tool. This tool allows users to evaluate and analyze statistical data in the SAP system. It provides a graphical representation of the data, allowing users to quickly identify trends and patterns. 
  
  Functionality: 
  The SAPoffice: Statistics Evaluation tool provides a range of features that allow users to analyze their data. It includes a variety of graphical representations, such as bar charts, line graphs, and pie charts. It also allows users to filter their data by various criteria, such as date range or specific values. Additionally, it provides a range of statistical functions, such as calculating averages and standard deviations. 
  
  Step-by-step How to Use: 
  To use the SAPoffice: Statistics Evaluation tool, follow these steps: 
  1. Access the tool by entering the transaction code SOY3 in the command field. 
  2. Select the data you want to analyze from the list of available fields. 
  3. Choose a graphical representation for your data from the options provided. 
  4. Filter your data by selecting specific criteria from the drop-down menus. 
  5. Use the statistical functions provided to calculate averages and standard deviations. 
  6. Save your results for future reference or export them as a file for further analysis. 
  
  Other Recommendations: 
  When using the SAPoffice: Statistics Evaluation tool, it is important to remember that it is only as accurate as the data you provide it with. Therefore, it is important to ensure that your data is up-to-date and accurate before using this tool for analysis. Additionally, it is recommended that you save your results regularly in case of any unexpected system errors or crashes.