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Transaction Code: FINS_ARC_ANALYZE
Description: Analyse Journal Entry Compression
Release: S/4HANA only
Menu Path:
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
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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