How to use FINS_ARC_ANALYZE - Analyse Journal Entry Compression


SAP Transaction Code - Details

  • Transaction Code: FINS_ARC_ANALYZE

    Description: Analyse Journal Entry Compression

    Release: S/4HANA only

    Menu Path:

    • Accounting > Financial Accounting > General Ledger > Periodic Processing > Archiving > Archiving Posting Documents > Analyze Data
  • Show technical details Hide technical details
    • Program: FINS_ARCH_ANALYZE

      Screen: 1000

      Authorization Object:

    • Development Package: FARC

      Package Description: Archiving of FI objects

      Parent Package: APPL

    • Module/Component: FI-GL-GL-E

      Description: Archiving


Smart SAP Assistant

  • SAP Tcode: FINS_ARC_ANALYZE - Analyse Journal Entry Compression
    
    Overview:
    The SAP transaction code FINS_ARC_ANALYZE is used to analyse journal entry compression. This tool helps to identify and compress multiple journal entries into one entry, which can help to reduce the number of entries in the system and improve efficiency. 
    
    Functionality: 
    The FINS_ARC_ANALYZE transaction code allows users to analyse journal entries and identify potential compression opportunities. It provides a detailed overview of the entries, including the amount, account, and document number. The tool also allows users to select specific entries for compression and view the resulting compressed entry. 
    
    Step-by-step How to Use: 
    1. Enter the FINS_ARC_ANALYZE transaction code in the SAP command field. 
    2. Select the company code for which you want to analyse journal entries. 
    3. Select the date range for which you want to analyse journal entries. 
    4. Select the account type for which you want to analyse journal entries. 
    5. Select the account number for which you want to analyse journal entries. 
    6. Select the document type for which you want to analyse journal entries. 
    7. Select the document number for which you want to analyse journal entries. 
    8. Review the list of journal entries that appear in the results table and select those that you want to compress. 
    9. Click on “Compress” button to compress selected entries into one entry. 
    10. Review the compressed entry and click on “Save” button to save it in the system. 
    
    Other Recommendations: 
    It is recommended that users review all of their journal entries regularly using this tool in order to identify potential compression opportunities and reduce the number of entries in their system. Additionally, users should ensure that all compressed entries are accurate before saving them in the system, as incorrect or incomplete information can lead to errors or discrepancies later on.
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