How To Fix FINS_UTIL023 - *** Generation of G/L and Migration: Date &1, Time &2

FINS_UTIL023 - Overview

• Message type: E = Error

• Message class: FINS_UTIL -

• Message number: 023

• Message text: *** Generation of G/L and Migration: Date &1, Time &2

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

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Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

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Smart SAP Assistant

• What is the cause and solution for SAP error message FINS_UTIL023 - *** Generation of G/L and Migration: Date &1, Time &2 ?

  The SAP error message FINS_UTIL023 typically relates to issues encountered during the generation of General Ledger (G/L) entries or during data migration processes in the SAP system. This error can occur for various reasons, and understanding the cause is crucial for finding an appropriate solution.
  
  Cause:
  
  
  Date and Time Issues: The error message indicates a problem with the date and time specified in the process. This could be due to:
  
  Incorrect system date or time settings.
  The date being outside of the allowed posting periods.
  The time being set incorrectly, leading to conflicts with scheduled jobs.
  
  
  
  
  Configuration Issues: There may be configuration settings in the G/L account or migration settings that are not aligned with the current process.
  
  
  Authorization Issues: The user executing the transaction may not have the necessary authorizations to perform the G/L generation or migration.
  
  
  Data Integrity Issues: There may be inconsistencies or errors in the data being processed, such as missing mandatory fields or