How To Fix HRPAYDESV120 - Error in data record DSER, field &1: &2

HRPAYDESV120 - Overview

• Message type: E = Error

• Message class: HRPAYDESV - Error Messages Germany Payroll, Social Insurance

• Message number: 120

• Message text: Error in data record DSER, field &1: &2

What causes this issue?

Data record DSER (data exchange reimbursement procedure) contains
incorrect data.
A check with error number &v2& was performed along with the core check
program of the receiving offices and returned an error.

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

List of checks:
<ZH>DSER020:</> The company number of sender &v3& is incorrect
<ZH>DSER030:</> The company number of recipient &v3& is incorrect
<ZH>DSER100:</> The company number of notifier &v3& is incorrect
<ZH>DSER110:</> The company number of HI fund &v3& is incorrect
<ZH>DSER161:</> Only the gender 'female' is permitted

System Response

How to fix this error?

The notification is created with the status <LS>With Errors</>.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

HRPAYDESV120 - Details

• The SAP error message HRPAYDESV120 typically indicates an issue with a data record in the payroll processing module, specifically related to the field indicated by &1 and the error description provided by &2. This error often arises during the payroll processing or data transfer stages, particularly when dealing with the payroll results or data records.
  
  Cause:
  
  Data Format Issues: The field indicated may contain data that does not conform to the expected format or length.
  Missing Data: Required fields may be empty or not populated correctly.
  Invalid Values: The value in the field may not be valid according to the business rules or configuration settings.
  Configuration Errors: There may be issues with the configuration of the payroll schema or rules that govern the processing of the data.
  Data Consistency: There may be inconsistencies in the data being processed, such as mismatched employee records or incorrect payroll periods.
  
  
  Solution:
  
  Check Data Records: Review the data record for the field