How to use CACS_D8 - Anzeigen der Data-Mining-Ergebnisse

SAP Transaction Code - Details

• Transaction Code: CACS_D8

  Description: Anzeigen der Data-Mining-Ergebnisse

  Release: S/4HANA and ECC 6

• • Program: RKCDUMDM

    Screen: 0

    Authorization Object:

  • Development Package: CACSRC

    Package Description: ICM: Enhancement Packages / Implementation for Reporting

    Parent Package: CACSRT

  • Module/Component: ICM

    Description: Incentive and Commission Management (ICM)

Smart SAP Assistant

• SAP Tcode: CACS_D8 - Anzeigen der Data-Mining-Ergebnisse

  
  Overview: 
  CACS_D8 is a SAP transaction code used to display the results of data mining. It is part of the SAP Business Warehouse (BW) application and is used to analyze large amounts of data. 
  
  Functionality: 
  CACS_D8 enables users to view the results of data mining in a graphical format. This includes the ability to view data in tables, charts, and graphs. The data can be filtered and sorted according to various criteria. Additionally, users can export the results of their analysis to other applications for further analysis. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code CACS_D8 into the command field. 
  2. Select the type of data mining you wish to view (e.g., clustering, association rules, etc.). 
  3. Select the data source you wish to analyze (e.g., InfoCube, DataStore object, etc.). 
  4. Select the fields you wish to analyze (e.g., customer name, product category, etc.). 
  5. Select the type of visualization you wish to use (e.g., table, chart, graph). 
  6. Select any additional filters or sorting criteria you wish to apply (e.g., date range, customer segment). 
  7. Click “Execute” to view the results of your analysis in a graphical format. 
  8. If desired, export the results of your analysis to another application for further analysis or reporting purposes. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with the various types of data mining available in SAP BW before using CACS_D8. Additionally, users should ensure that they have access to all necessary data sources before attempting to analyze them with CACS_D8. Finally, users should take advantage of the ability to export their results for further analysis or reporting purposes if needed.