How To Fix N2M138 - Aggregated data missing. Automatic adjustment of association not possible

SAP Error Message - Details

• Message type: E = Error

• Message class: N2M - Global Trade: Item Category Management

• Message number: 138

• Message text: Aggregated data missing. Automatic adjustment of association not possible

What causes this issue?

After a change to the quantity of item &V1&, associations should be
adjusted automatically.

System Response

Automatic adjustment of the associations is not possible as the system
did not find any aggregated data for item &V1&. The item belongs to
trading contract &V2&.

How to fix this error?

Processing is terminated.

Procedure for System Administrators

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

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message N2M138 - Aggregated data missing. Automatic adjustment of association not possible ?

  The SAP error message N2M138, which states "Aggregated data missing. Automatic adjustment of association not possible," typically occurs in the context of SAP's data management and reporting functionalities, particularly when dealing with aggregated data in the context of financial or operational reporting.
  
  Cause:
  
  
  Missing Aggregated Data: The error indicates that the system is unable to find the necessary aggregated data that is required for the automatic adjustment of associations. This could be due to:
  
  Data not being aggregated correctly in the source system.
  Missing entries in the database that should have been aggregated.
  Issues with the data extraction or transformation processes that lead to incomplete data.
  
  
  
  
  Configuration Issues: There may be configuration settings in the SAP system that are not set up correctly, leading to the inability to find or process the aggregated data.
  
  
  Data Consistency Issues: If there are inconsistencies in the data, such as mismatched keys or incorrect relationships between data entities, the system may