How to use S_ALR_87011838 - Quarters: Product Group List


SAP Transaction Code - Details

  • Transaction Code: S_ALR_87011838

    Description: Quarters: Product Group List

    Release: S/4HANA and ECC 6

    Menu Path:

    • Accounting > Enterprise Controlling > EIS > Information System > Report Selection for EC-EIS > Market Key Figures (Aspect 001) > Sales Market > Quarterly Reports > Quarterly Comparison: Product Group List
    • Information Systems > EIS > Report Selection for EC-EIS > Market Key Figures (Aspect 001) > Sales Market > Quarterly Reports > Quarterly Comparison: Product Group List
    • Information Systems > General Report Selection > Enterprise Controlling > Executive Information System > Market Key Figures (Aspect 001) > Sales Market > Quarterly Reports > Quarterly Comparison: Product Group List
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    • Development Package: RTTREE

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Smart SAP Assistant

  • SAP Tcode: S_ALR_87011838 - Quarters: Product Group List
    
    Overview: 
    S_ALR_87011838 is a SAP transaction code used to generate a list of product groups for a given quarter. This report provides an overview of the product groups and their associated sales figures. 
    
    Functionality: 
    This report allows users to view the sales figures for each product group in a given quarter. It also provides an overview of the total sales figures for the quarter. The report can be filtered by product group, customer, and other criteria. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code S_ALR_87011838 into the SAP command field. 
    2. Select the desired quarter from the drop-down menu. 
    3. Select any additional filters you wish to apply (e.g., product group, customer). 
    4. Click “Execute” to generate the report. 
    5. The report will be displayed in a table format with columns for product group, sales figures, and other relevant information. 
    
    Other Recommendations: 
    This report can be used to compare sales figures between different quarters or product groups. It can also be used to identify trends in sales over time or to analyze customer purchasing patterns.
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