How to use RSDMCUS - Data Mining Customising

SAP Transaction Code - Details

• Transaction Code: RSDMCUS

  Description: Data Mining Customising

  Release: S/4HANA and ECC 6

• • Program: SAPLRS_DME_DMP_CUS_UI_SCR

    Screen: 300

    Authorization Object:

  • Development Package: RS_DME_DMP_CUS_UI

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: RSDMCUS - Data Mining Customising

  
  Overview:
  RSDMCUS is a SAP transaction code used to access the Data Mining Customising menu. This menu allows users to configure and customize the data mining process in SAP. It is used to set up the data mining process, including the selection of data sources, the definition of data mining objects, and the selection of algorithms. 
  
  Functionality: 
  The Data Mining Customising menu provides users with a range of options for customizing their data mining process. It allows users to select the data sources they want to use for their data mining process, define the data mining objects they want to use, and select the algorithms they want to use for their data mining process. Additionally, users can also configure settings such as the number of iterations and the number of clusters. 
  
  Step-by-step How to Use: 
  To access the Data Mining Customising menu, enter transaction code RSDMCUS in the SAP command field. Once in the menu, users can select from a range of options for customizing their data mining process. To select a data source, click on “Data Sources” in the left-hand navigation bar. To define a data mining object, click on “Data Mining Objects” in the left-hand navigation bar. To select an algorithm, click on “Algorithms” in the left-hand navigation bar. Finally, users can configure settings such as the number of iterations and number of clusters by clicking on “Settings” in the left-hand navigation bar. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with SAP’s Data Mining Customising menu before attempting to customize their data mining process. Additionally, it is recommended that users consult with an experienced SAP consultant if they have any questions or need assistance with customizing their data mining process.