How to use RSPLAN - Modeling BI Integrated Planning

SAP Transaction Code - Details

• Transaction Code: RSPLAN

  Description: Modeling BI Integrated Planning

  Release: S/4HANA and ECC 6

• • Program: SAPLRSPLWPLAN

    Screen: 3001

    Authorization Object:

  • Development Package: RSPLS

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: RSPLAN - Modeling BI Integrated Planning

  
  Overview: 
  RSPLAN is a SAP transaction code used for Modeling BI Integrated Planning. It is used to create and maintain planning models in the SAP Business Warehouse (BW) system. The planning models are used to create and manage data for planning, budgeting, forecasting, and other analytical activities. 
  
  Functionality: 
  RSPLAN allows users to create and maintain planning models in the BW system. The models are used to store and manage data for planning, budgeting, forecasting, and other analytical activities. The models can be used to create reports, analyze data, and make decisions. The models can also be used to integrate with other systems such as SAP ERP or SAP HANA. 
  
  Step-by-step How to Use: 
  1. Log into the SAP system using your user ID and password. 
  2. Enter the transaction code RSPLAN in the command field. 
  3. Select the “Create Model” option from the menu. 
  4. Enter the name of the model you want to create in the “Model Name” field. 
  5. Select the type of model you want to create from the drop-down list (e.g., Planning Model, Budget Model, Forecasting Model). 
  6. Enter the description of the model in the “Description” field (optional). 
  7. Select the “Save” button to save your changes. 
  8. Select the “Activate” button to activate your model. 
  9. Select the “Test” button to test your model before using it in production mode. 
  10. Select the “Execute” button to execute your model in production mode. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with all of the features of RSPLAN before using it in production mode. Additionally, users should ensure that their models are properly tested before executing them in production mode to avoid any errors or unexpected results.