How to use RSFC - Analytic Engine - Demo Content

SAP Transaction Code - Details

• Transaction Code: RSFC

  Description: Analytic Engine - Demo Content

  Release: S/4HANA and ECC 6

• • Program: RSFC_UI

    Screen: 100

    Authorization Object: S_RS_RSFC

  • Development Package: RSFC

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: RSFC - Analytic Engine - Demo Content

  
  Overview:
  The SAP transaction code RSFC is used to access the Analytic Engine Demo Content. This demo content provides users with a comprehensive overview of the Analytic Engine, which is a powerful tool for analyzing and visualizing data. 
  
  Functionality: 
  The Analytic Engine Demo Content provides users with a comprehensive overview of the Analytic Engine, including its features and capabilities. It also provides users with sample data sets and visualizations to help them understand how the Analytic Engine works. Additionally, it provides users with step-by-step instructions on how to use the Analytic Engine to analyze and visualize their own data. 
  
  Step-by-Step How to Use 
  To access the Analytic Engine Demo Content, users must first enter the SAP transaction code RSFC in the command field. This will open up the Analytic Engine Demo Content page, which contains a variety of sample data sets and visualizations. Users can then select a sample data set or visualization to explore further. Once they have selected a sample data set or visualization, they can use the Analytic Engine to analyze and visualize their own data. 
  
  Other Recommendations: 
  In addition to using the Analytic Engine Demo Content, users should also take advantage of other resources available for learning how to use the Analytic Engine. These resources include online tutorials, user guides, and other documentation that can help users understand how to use the Analytic Engine more effectively. Additionally, users should consider attending training sessions or workshops that focus on using the Analytic Engine for data analysis and visualization.