How To Fix HRPIQDE_STAT_REPORT106 - Sum of the acknowledged credits cannot be greater than total credits

SAP Error Message - Details

• Message type: E = Error

• Message class: HRPIQDE_STAT_REPORT - Messages for Statistical Reporting

• Message number: 106

• Message text: Sum of the acknowledged credits cannot be greater than total credits

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.

What else can you do?

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.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message HRPIQDE_STAT_REPORT106 - Sum of the acknowledged credits cannot be greater than total credits ?

  The SAP error message HRPIQDE_STAT_REPORT106 indicates that there is a discrepancy in the credit allocation for a specific report or transaction. Specifically, it states that the sum of the acknowledged credits cannot exceed the total credits available. This error typically arises in the context of SAP's Human Capital Management (HCM) or Personnel Administration modules, particularly when dealing with employee credits, benefits, or similar allocations.
  Cause:
  
  Data Entry Error: The most common cause is incorrect data entry where the acknowledged credits have been inputted incorrectly, leading to a total that exceeds the available credits.
  Configuration Issues: There may be issues in the configuration of the credit system, such as incorrect settings for credit limits or allocation rules.
  System Bugs: Occasionally, there may be bugs or issues in the SAP system that lead to incorrect calculations or data handling.
  Timing Issues: If credits are being processed in batches, there may be timing issues where credits are acknowledged before they are fully processed.
  
  Solution:
  
  Review Data Entries: Check the entries for acknowledged credits and ensure they are accurate. Make sure that the total of acknowledged credits does not exceed the total credits available.
  Adjust Configurations: If the issue is related to configuration, review the settings in the SAP system related to credit allocation and limits. Ensure that they are set correctly according to business rules.
  Reprocess Transactions: If the error is due to timing or processing issues, try reprocessing the transactions or running the report again after ensuring all data is correctly entered.
  Consult Documentation: Refer to SAP documentation or help resources for specific guidance on handling this error message.
  Contact SAP Support: If the issue persists and cannot be resolved through the above steps, consider reaching out to SAP support for assistance. They may provide patches or updates if it is a known issue.
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes in SAP that may help in troubleshooting, such as PA20 (Display HR Master Data) or PA30 (Maintain HR Master Data).
  SAP Notes: Check for any SAP Notes related to this error message. SAP Notes often contain fixes or workarounds for known issues.
  User Forums: Engage with SAP community forums or user groups where similar issues may have been discussed, and solutions shared.
  Testing Environment: If possible, replicate the issue in a testing environment to better understand the cause without affecting live data.
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.