How to use PIVB - Pivot Browser Overview


SAP Transaction Code - Details

  • Transaction Code: PIVB

    Description: Pivot Browser Overview

    Release: S/4HANA and ECC 6

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    • Program: RFPIVB

      Screen: 1000

      Authorization Object:

    • Development Package: FMRP_CORE_E

      Package Description: Funds Management: Information System Core Objects English

      Parent Package: APPL

    • Module/Component: FI-FM

      Description: Funds Management


Smart SAP Assistant

  • SAP Tcode: PIVB - Pivot Browser Overview
    
    Overview: 
    PIVB is an SAP transaction code used to access the Pivot Browser. The Pivot Browser is a tool that allows users to quickly and easily analyze data from multiple sources. It provides a graphical interface for users to view and manipulate data in a variety of ways. 
    
    Functionality: 
    The Pivot Browser allows users to quickly and easily analyze data from multiple sources. It provides a graphical interface for users to view and manipulate data in a variety of ways. It also allows users to create custom reports, charts, and graphs. Additionally, the Pivot Browser can be used to compare data from different sources, as well as to identify trends and patterns in the data. 
    
    Step-by-step How to Use: 
    1. Open the SAP transaction code PIVB - Pivot Browser. 
    2. Select the data source you wish to analyze. 
    3. Select the fields you wish to include in your analysis. 
    4. Select the type of analysis you wish to perform (e.g., comparison, trend analysis, etc.). 
    5. Select the type of visualization you wish to use (e.g., bar chart, line graph, etc.). 
    6. View and manipulate your data as desired. 
    7. Save your results for future reference or export them for further analysis in other applications. 
    
    Other Recommendations: 
    It is recommended that users familiarize themselves with the various features of the Pivot Browser before using it for analysis purposes. Additionally, users should ensure that they have access to all necessary data sources before beginning their analysis. Finally, users should take advantage of the various customization options available in order to get the most out of their analysis results.
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