How to use S_PH9_46000217 - Statistique : sexe par ancienneté

SAP Transaction Code - Details

• Transaction Code: S_PH9_46000217

  Description: Statistique : sexe par ancienneté

  Release: S/4HANA and ECC 6

  Menu Path:

  • Human Resources > Personnel Management > Administration > Info System > Reports > Organizational Entity > Age/Gender > Statistics: Gender Sorted by Seniority
  • Human Resources > Information System > Reports > Personnel Management > Administration > Organizational Entity > Age/Gender > Statistics: Gender Sorted by Seniority
  • Information Systems > Human Resources > Reports > Personnel Management > Administration > Organizational Entity > Age/Gender > Statistics: Gender Sorted by Seniority
  • Information Systems > General Report Selection > Human Resources > Personnel Management > Administration > Organizational Entity > Age/Gender > Statistics: Gender Sorted by Seniority

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: RTTREE_AHR

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: S_PH9_46000217 - Statistique : sexe par ancienneté

  
  Overview:
  S_PH9_46000217 is a SAP transaction code used to generate a statistical report that displays the gender of customers by their service age. This report can be used to analyze customer service trends and identify areas for improvement. 
  
  Functionality: 
  This transaction code allows users to generate a statistical report that displays the gender of customers by their service age. The report can be used to analyze customer service trends and identify areas for improvement. The report can also be used to compare customer service performance across different genders. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code S_PH9_46000217 in the command field. 
  2. Select the “Execute” button. 
  3. Enter the selection criteria for the report, such as date range, customer type, etc. 
  4. Select the “Execute” button again to generate the report. 
  5. The report will be displayed in a table format with columns for gender and service age. 
  6. Analyze the data and identify areas for improvement in customer service performance. 
  
  Other Recommendations: 
  It is recommended that users save the generated report for future reference and comparison purposes. Additionally, users should consider using other SAP transaction codes to generate additional reports that can provide further insights into customer service performance trends.