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How To Fix CACSTGT023 - Inconsistent period rule; target rule &1, last processed rule &2


CACSTGT023 - Overview

  • Message type: E = Error

  • Message class: CACSTGT - Commissions: Target Agreements

  • Message number: 023

  • Message text: Inconsistent period rule; target rule &1, last processed rule &2

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  • 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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    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    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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CACSTGT023 - Details

  • The SAP error message CACSTGT023 indicates that there is an inconsistency between the target period rule and the last processed period rule in the context of a specific process, typically related to the Controlling (CO) module or the Profitability Analysis (CO-PA) module. This error usually arises during the execution of a process that involves period-end closing activities or data transfers.
    
    Cause: The inconsistency can occur due to several reasons:
    Configuration Issues: The target period rule and the last processed rule may not align due to incorrect configuration settings in the system. Data Integrity Problems: There may be inconsistencies in the data that have been processed, leading to a mismatch between the expected and actual rules. Changes in Rules: If there have been recent changes to the period rules or if the rules were modified after the last processing, this can lead to inconsistencies. Missing or Incorrect Data: If certain data entries are missing or incorrect, it

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