How to use FINS_ARC_ANALYZE - Analyse Journal Entry Compression

FINS_ARC_ANALYZE - Overview

• 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

• • 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

FINS_ARC_ANALYZE - Details

• 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