How to use /SAPAPO/OM16 - Data Viewer

SAP Transaction Code - Details

• Transaction Code: /SAPAPO/OM16

  Description: Data Viewer

  Release: S/4HANA only

• • Program: /SAPAPO/OM16

    Screen: 1000

    Authorization Object:

  • Development Package: /SAPAPO/OM_BASIS

    Package Description: Interface Between ABAP and liveCache Objects

    Parent Package: /SAPAPO/OM_STRUCTURE

  • Module/Component: BC-DB-LCA

    Description: liveCache Applications

Smart SAP Assistant

• SAP Tcode: /SAPAPO/OM16 - Data Viewer

  
  Overview:
  The SAP transaction code /SAPAPO/OM16 is used to access the Dataviewer in SAP Advanced Planning and Optimization (SAP APO). The Dataviewer is a tool that allows users to view and analyze data from various sources within SAP APO. It provides a graphical representation of the data, allowing users to quickly identify trends and patterns. 
  
  Functionality:
  The Dataviewer in SAP APO provides users with a comprehensive view of their data. It allows users to view data from multiple sources, including supply chain planning, demand planning, and inventory management. The Dataviewer also provides users with the ability to filter and sort data, as well as create custom views. Additionally, the Dataviewer can be used to generate reports and graphs that can be used for further analysis. 
  
  Step-by-step How to Use:
  1. Access the Dataviewer by entering the transaction code /SAPAPO/OM16 in the command field. 
  2. Select the source of the data you wish to view from the drop-down menu. 
  3. Select the fields you wish to view from the list of available fields. 
  4. Use the filters and sorting options to refine your view of the data. 
  5. Generate reports or graphs as needed for further analysis. 
  
  Other Recommendations:
  It is recommended that users familiarize themselves with all of the features of the Dataviewer before using it for analysis. Additionally, users should ensure that they have access to all of the necessary data sources before attempting to use the Dataviewer. Finally, users should take advantage of all of the features available in the Dataviewer, such as filtering and sorting, in order to get the most out of their analysis.