How To Fix HRPAYTR02211 - Statistically relevant data from order & item & not in table MCVSRFP

HRPAYTR02211 - Overview

• Message type: E = Error

• Message class: HRPAYTR02 -

• Message number: 211

• Message text: Statistically relevant data from order & item & not in table MCVSRFP

What causes this issue?

To process the billing documents, you require date from the underlying
item &V2& of document &V1&. Orders and delivery notes must be processed
before billing documents. The statistically relevant item data is
stored in table MCVSRFP. However, this table contains no entry for
document &V1&, item &V2&.

System Response

The statistical data from the billing document cannot be updated.

How to fix this error?

Archived Documents
Make sure, if you have analyzed the archives, that all archived orders
and delivery notes were processed.
If so, have only complete orders and billing documents been archived?
Resident Documents
Make sure that all system-resident orders and delivery notes have been
processed.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message HRPAYTR02211 - Statistically relevant data from order & item & not in table MCVSRFP ?

  The SAP error message HRPAYTR02211 indicates that there is an issue with the statistical data related to an order and item that is not found in the specified table (MCVSRFP). This error typically arises in the context of payroll processing or when dealing with statistical data related to HR and payroll.
  
  Cause:
  
  Missing Data: The error suggests that the system is trying to access statistical data for a specific order and item, but it cannot find the relevant entries in the MCVSRFP table. This could be due to missing or incomplete data entries.
  
  Configuration Issues: There may be configuration issues in the payroll or HR module that prevent the system from correctly linking the order and item to the statistical data.
  Data Consistency: There might be inconsistencies in the data, such as incorrect or outdated entries that do not match the expected format or criteria.
  
  
  Solution:
  
  Check Data Entries: Verify that the relevant statistical data for