How To Fix RMSA_STD015 - Entries for standardization are insolvable

RMSA_STD015 - Overview

• Message type: E = Error

• Message class: RMSA_STD - RMS-ATL: Messages for Standardization

• Message number: 015

• Message text: Entries for standardization are insolvable

What causes this issue?

The method for calculating the target values is insolvable. This may be
caused by the following:
One or more of the target values are too large or too small, therefore
they are outside of the range for calculation.
For example, the fixed items have a fat content of at least 10g and the
target value for fat was specified as 2g.
This combination of target values cannot be calculated.

System Response

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

How to fix this error?

Adjust the target values or use fewer or different nutrients for
standardization.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RMSA_STD015 - Entries for standardization are insolvable ?

  The SAP error message RMSA_STD015, which states "Entries for standardization are insolvable," typically occurs in the context of the SAP Master Data Governance (MDG) or SAP Data Services when the system is unable to standardize certain entries due to various reasons. Here’s a breakdown of the potential causes, solutions, and related information:
  Causes:
  
  Invalid Data: The data being processed may contain invalid or incomplete entries that cannot be standardized.
  Missing Standardization Rules: There may be no applicable standardization rules defined for the specific data type or entry.
  
  Configuration Issues: The standardization configuration in the system may not be set up correctly, leading to failures in processing.
  Data Quality Issues: Poor data quality, such as typos, inconsistent formats, or missing values, can lead to standardization failures.
  Unsupported Characters: The presence of special or unsupported characters in the data can cause standardization to fail.
  
  Solutions:
  
  Review Data Entries: Check the entries that are causing the error for any obvious issues