How to use S_ER9_52000174 - Analyze Data Aging for Mat. Doc.


SAP Transaction Code - Details

  • Transaction Code: S_ER9_52000174

    Description: Analyze Data Aging for Mat. Doc.

    Release: S/4HANA only

  • Show technical details Hide technical details
    • Program: SAPLS_CUS_IMG_ACTIVITY

      Screen: 200

      Authorization Object:

    • Development Package: MBND_AGING

      Package Description: MM: Inventory Management New Data Model Aging

      Parent Package: MBND_MAIN

    • Module/Component: MM-IM-GF-DAG

      Description: Data Aging of Material Documents


Smart SAP Assistant

  • SAP Tcode: S_ER9_52000174 - Analyze Data Aging for Mat. Doc.
    
    Overview:
    S_ER9_52000174 is a SAP transaction code used to analyze data aging for material documents. It is used to identify and analyze the aging of material documents in the system. This helps to identify any discrepancies in the data and take corrective action. 
    
    Functionality: 
    This transaction code allows users to view the aging of material documents in the system. It provides an overview of the aging of material documents, including the number of days since the document was created, the document type, and the document number. The report also provides information on any discrepancies in the data, such as incorrect document numbers or incorrect document types. 
    
    Step-by-step How to Use: 
    1. Enter transaction code S_ER9_52000174 into the SAP command field. 
    2. Select “Execute” to open the report. 
    3. Enter selection criteria such as document type, document number, and date range. 
    4. Select “Execute” to generate the report. 
    5. Review the report for any discrepancies in the data or any other issues that need to be addressed. 
    6. Take corrective action as needed. 
    
    Other Recommendations: 
    It is recommended that users review this report regularly to ensure that all material documents are up-to-date and accurate. This will help to ensure that all transactions are processed correctly and efficiently. Additionally, users should be aware of any discrepancies in the data and take corrective action as needed.
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