How To Fix WER130 - *****131 - 149: Data checks*******************************************

SAP Error Message - Details

• Message type: E = Error

• Message class: WER - Messages for the package WER

• Message number: 130

• Message text: *****131 - 149: Data checks*******************************************

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 WER130 - *****131 - 149: Data checks******************************************* ?

  The SAP error message WER130 *131 - 149: Data checks*****?** is a somewhat generic message related to data validation or consistency checks during certain SAP processes, often encountered in modules like Workflow, HR, or other areas where data integrity is critical.
  
  Understanding the Error Message
  
  Message Class: WER130  
  Message Number: 131 - 149 (range)  
  Message Text: "Data checks***?" (The asterisks usually indicate a separator or formatting in the message text.)
  
  This message typically indicates that some data checks have failed or that there is an inconsistency in the data being processed.
  
  Common Causes
  
  
  Data Inconsistency or Missing Data:
  
  The system is performing validation checks on data (e.g., personnel data, workflow container data, or master data), and some required fields are missing or contain invalid values.
  
  
  Incorrect or Incomplete Configuration:
  
  The configuration related to the process (e.g., workflow steps, HR infotypes, or data validation rules) is incomplete or incorrect, causing the data checks to fail.
  
  
  Authorization Issues:
  
  Sometimes, the user or process does not have the necessary authorizations to access or modify certain data, leading to failed checks.
  
  
  Custom Enhancements or User Exits:
  
  Custom code or user exits that perform additional data checks might be triggering this error if the data does not meet custom validation criteria.
  
  
  
  How to Analyze and Solve
  
  
  Check the Detailed Error Log:
  
  Look for more detailed messages in the system log (transaction SM21), application log (SLG1), or the short dump analysis (ST22) to get more context about the error.
  
  
  Identify the Process and Data Involved:
  
  Determine which process or transaction triggered the error. For example, if it occurs during a workflow step, check the workflow container and the data passed.
  
  
  Verify Data Completeness and Consistency:  
  
  Check the relevant master data or transactional data for completeness.  
  For HR data, verify infotypes and their validity periods.  
  For workflow, check the container elements and ensure all required data is present.
  
  
  
  Review Configuration:  
  
  Check the configuration settings related to the process.  
  For workflows, verify the workflow definition and steps.  
  For HR, check the personnel administration settings.
  
  
  
  Check Authorizations:
  
  Ensure the user or process has the necessary authorizations to read or write the data.
  
  
  Debug or Review Custom Code:
  
  If custom validations are implemented, review the code to understand why the data check fails.
  
  
  
  Related Information and Transactions
  
  SM21: System log for error details  
  SLG1: Application log to find detailed messages  
  ST22: ABAP short dumps for runtime errors  
  SWI1 / SWIA: Workflow logs and administration  
  PA20 / PA30: HR master data display and maintenance  
  SU53: Authorization check failure analysis
  
  
  Summary
  
  
  
  Aspect
  Details
  
  
  
  
  Cause
  Data inconsistency, missing or invalid data, incorrect configuration, or authorization issues.
  
  
  Solution
  Analyze logs, verify data completeness, check configuration, ensure proper authorizations, and debug custom code if applicable.
  
  
  Related Info
  Use SM21, SLG1, ST22, SU53, and relevant module transactions to diagnose and resolve.
  
  
  
  
  If you can provide the exact context (module, transaction, or process) where this error occurs, I can help you with more specific troubleshooting steps.