How to use KEAN - CO-PA Data Analysis

SAP Transaction Code - Details

• Transaction Code: KEAN

  Description: CO-PA Data Analysis

  Release: S/4HANA and ECC 6

• • Program: RKE_ANALYSE_COPA

    Screen: 1000

    Authorization Object:

  • Development Package: KE

    Package Description: Profitability Analysis

    Parent Package: APPL

  • Module/Component: CO-PA

    Description: Profitability Analysis

Smart SAP Assistant

• SAP Tcode: KEAN - CO-PA Data Analysis

  
  Overview:
  KEAN is a SAP transaction code used to access the CO-PA Data Analysis tool. This tool allows users to analyze and evaluate profitability data from the Controlling (CO) module. It provides a comprehensive view of the profitability of an organization, allowing users to make informed decisions about their business. 
  
  Functionality: 
  The CO-PA Data Analysis tool provides users with a range of features to analyze and evaluate profitability data. It allows users to view data in various formats, such as tables, charts, and graphs. It also provides a range of filters and sorting options to help users quickly identify trends and patterns in their data. Additionally, it allows users to compare different periods of time or different areas of the business. 
  
  Step-by-step How to Use: 
  To use the KEAN transaction code, follow these steps 
  1. Log into SAP and enter the KEAN transaction code in the command field. 
  2. Select the desired data source from the list of available sources. 
  3. Select the desired fields for analysis from the list of available fields. 
  4. Select any filters or sorting options as desired. 
  5. Select the desired output format (table, chart, graph, etc.). 
  6. Click “Execute” to generate the report. 
  7. Review and analyze the report as desired. 
  
  Other Recommendations: 
  When using the KEAN transaction code, it is important to ensure that all relevant data sources are selected for analysis. Additionally, it is important to select appropriate filters and sorting options to ensure that only relevant data is included in the report. Finally, it is important to review and analyze the report carefully in order to draw meaningful conclusions from the data.