How to use KEAF - Value Field Analysis

SAP Transaction Code - Details

• Transaction Code: KEAF

  Description: Value Field Analysis

  Release: S/4HANA and ECC 6

• • Program: SAPMKECM_VFIELDS

    Screen: 1

    Authorization Object:

  • Development Package: KE0C

    Package Description: Customizing for Profitability Analysis

    Parent Package: APPL

  • Module/Component: CO-PA

    Description: Profitability Analysis

Smart SAP Assistant

• SAP Tcode: KEAF - Value Field Analysis

  
  Overview:
  KEAF is a SAP transaction code used to analyze the value fields of a company. It provides an overview of the value fields and their associated values, allowing users to quickly identify any discrepancies or errors. This transaction code is especially useful for companies that have multiple value fields and need to ensure accuracy in their data. 
  
  Functionality:
  KEAF allows users to view the value fields of a company in an organized manner. It displays the value fields and their associated values in a table format, making it easy to identify any discrepancies or errors. Additionally, KEAF provides users with the ability to filter the data by specific criteria, such as date range or value field type. This allows users to quickly narrow down their search and find the information they need. 
  
  Step-by-step How to Use:
  1. Access KEAF by entering the transaction code into the SAP command field. 
  2. Select the company code for which you want to view the value fields. 
  3. Select any filters you want to apply, such as date range or value field type. 
  4. View the table of value fields and their associated values. 
  5. Identify any discrepancies or errors in the data. 
  6. Make any necessary changes or corrections to ensure accuracy in your data. 
  
  Other Recommendations:
  It is recommended that users regularly use KEAF to analyze their company’s value fields and ensure accuracy in their data. Additionally, users should be aware of any changes or updates made to their company’s value fields, as these can affect the accuracy of their data. Finally, users should always double-check their data before making any changes or corrections, as incorrect changes can lead to inaccurate results.