How to use PC00_M05_CLAV - Collect Wage Return Data


SAP Transaction Code - Details

  • Transaction Code: PC00_M05_CLAV

    Description: Collect Wage Return Data

    Release: S/4HANA and ECC 6

    Menu Path:

    • Human Resources > Payroll > Europe > The Netherlands > Subsequent Activities > Per Payroll Period > Evaluation > Wage Return > Collect Wage Return Data
  • Show technical details Hide technical details
    • Program: RPCLAVN0

      Screen: 1000

      Authorization Object:

    • Development Package: P05T

      Package Description:

      Parent Package:

    • Module/Component:

      Description:


Smart SAP Assistant

  • SAP Tcode: PC00_M05_CLAV - Collect Wage Return Data
    
    Overview: 
    PC00_M05_CLAV is a SAP transaction code used to collect wage return data. It is used to collect wage return data from the payroll system and store it in the database. This data can then be used for reporting and analysis purposes. 
    
    Functionality: 
    PC00_M05_CLAV enables users to collect wage return data from the payroll system and store it in the database. This data can then be used for reporting and analysis purposes. The collected data includes employee wages, deductions, taxes, and other payroll-related information. 
    
    Step-by-step How to Use: 
    1. Log into the SAP system and enter the transaction code PC00_M05_CLAV. 
    2. Select the “Collect Wage Return Data” option from the menu. 
    3. Enter the required information such as employee name, payroll period, and other relevant details. 
    4. Click “Execute” to collect the wage return data from the payroll system and store it in the database. 
    5. Once the data has been collected, it can be used for reporting and analysis purposes. 
    
    Other Recommendations: 
    It is recommended that users regularly review their wage return data to ensure accuracy and completeness. Additionally, users should ensure that all relevant information is entered correctly when collecting wage return data using PC00_M05_CLAV to avoid any errors or discrepancies in the collected data.
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