How to use S_ALR_87013444 - Project Info System: Main prog. rel.

SAP Transaction Code - Details

• Transaction Code: S_ALR_87013444

  Description: Project Info System: Main prog. rel.

  Release: S/4HANA and ECC 6

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: CNIS

    Package Description: Application development R/3 PS information system

    Parent Package: APPL

  • Module/Component: PS-IS

    Description: Information System

Smart SAP Assistant

• SAP Tcode: S_ALR_87013444 - Project Info System: Main prog. rel.

   3.0
  
  Overview: 
  S_ALR_87013444 is a SAP transaction code used to access the Project Information System (PIS) in SAP. It is used to view and analyze project-related data, such as cost and revenue information, project progress, and resource utilization. 
  
  Functionality: 
  The Project Information System (PIS) is a powerful tool that allows users to view and analyze project-related data. It provides detailed information about project costs, revenues, progress, and resource utilization. It also allows users to compare different projects and identify areas of improvement. 
  
  Step-by-step How to Use: 
  1. Log into SAP using your user ID and password. 
  2. Enter the transaction code S_ALR_87013444 in the command field. 
  3. Select the project you want to view from the list of available projects. 
  4. The Project Information System will open up with all the relevant data for the selected project. 
  5. Use the various filters and options available to analyze the data in more detail. 
  6. Once you are done analyzing the data, you can save it for future reference or export it to other applications for further analysis. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with the various features of the Project Information System before using it for analysis purposes. Additionally, users should ensure that they have access to all the necessary data before attempting to analyze it using PIS. Finally, users should always save their work after analyzing data in order to avoid any potential data loss or corruption.