How to use PC00_M01_LEHE - Model: Remuneration Statistics Metal

SAP Transaction Code - Details

• Transaction Code: PC00_M01_LEHE

  Description: Model: Remuneration Statistics Metal

  Release: S/4HANA and ECC 6

  Menu Path:

  • Human Resources > Payroll > Europe > Germany > Subsequent Activities > Other periods > Lists/statistics > Industry statistics > Template: Statistics for Employer's Association Metal Industry
  • Human Resources > Payroll > Europe > Germany > Information system > Statistics > Template: Statistics for Employer's Association Metal Industry

• • Program: RPLEHED0

    Screen: 1000

    Authorization Object:

  • Development Package: PC01

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: PC00_M01_LEHE - Model: Remuneration Statistics Metal

   Industry
  
  Overview:
  PC00_M01_LEHE is a SAP transaction code used to generate remuneration statistics for the metal industry. It is used to analyze the salary structure of employees in the metal industry and to compare it with the average salary of other industries. 
  
  Functionality: 
  This transaction code allows users to generate a report that contains information about the salary structure of employees in the metal industry. The report includes information such as the average salary, the median salary, and the distribution of salaries across different job roles. It also provides a comparison between the metal industry and other industries. 
  
  Step-by-step How to Use: 
  1. Enter transaction code PC00_M01_LEHE in the command field. 
  2. Select “Remuneration Statistics Metal Industry” from the drop-down menu. 
  3. Enter the date range for which you want to generate the report. 
  4. Select “Generate Report” to generate the report. 
  5. The report will be generated and can be viewed in a separate window. 
  
  Other Recommendations: 
  It is recommended that users review the generated report carefully before making any decisions based on it. Additionally, users should ensure that they have entered accurate data into the system before generating the report, as incorrect data may lead to inaccurate results.