How to use KEDW - CO-PA: Fill Summ. Levels (Expert)

SAP Transaction Code - Details

• Transaction Code: KEDW

  Description: CO-PA: Fill Summ. Levels (Expert)

  Release: S/4HANA and ECC 6

• • Program: RKETRERV

    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: KEDW - CO-PA: Fill Summ. Levels (Expert)

  
  Overview: 
  KEDW is an SAP transaction code used to fill summary levels in the Controlling (CO) Profitability Analysis (PA) module. It is an expert mode transaction code, meaning it is intended for experienced users. 
  
  Functionality: 
  KEDW allows users to fill summary levels in the CO-PA module. This means that users can create a summary of the data stored in the CO-PA module, which can be used to analyze profitability and make decisions. 
  
  Step-by-step How to Use: 
  1. Enter KEDW into the SAP command field and press enter. 
  2. Select the version of CO-PA you want to use. 
  3. Select the characteristics you want to use for summarization. 
  4. Select the summarization level you want to use. 
  5. Select the summarization type you want to use (e.g., sum, average, etc.). 
  6. Select the currency you want to use for summarization. 
  7. Select the summarization period you want to use (e.g., month, quarter, etc.). 
  8. Select the summarization method you want to use (e.g., manual or automatic). 
  9. Enter any additional parameters you want to use for summarization (e.g., cost element group). 
  10. Execute the summarization process by pressing enter or clicking on the execute button. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with the CO-PA module before using KEDW, as it is an expert mode transaction code and requires a certain level of knowledge and understanding of the module in order to be used effectively and efficiently. Additionally, it is recommended that users back up their data before using KEDW, as any mistakes made during summarization could result in data loss or corruption if not backed up beforehand.