How To Fix BRAIN_DEV103 - &1: Internal business volume elimination and exception aggregation on &3

SAP Error Message - Details

• Message type: E = Error

• Message class: BRAIN_DEV - BRAIN messages (for use by development)

• Message number: 103

• Message text: &1: Internal business volume elimination and exception aggregation on &3

What causes this issue?

Internal business volume elimination on characteristic &V3& is defined
for key figure &V2&. An exception aggregation or formula exception
aggregation with &V3& as reference characteristic is also applied on key
figure &V2& in query element &V1&.
The internal business volume elimination is applied before the exception
aggregation<(>,<)> but does not take account of the exception
aggregation reference characteristics.

System Response

How to fix this error?

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

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 BRAIN_DEV103 - &1: Internal business volume elimination and exception aggregation on &3 ?

  The SAP error message BRAIN_DEV103 typically relates to issues encountered during the internal business volume elimination and exception aggregation processes in SAP BW (Business Warehouse) or SAP Analytics solutions. This error can occur in various contexts, such as during data loading, reporting, or when executing specific queries.
  
  Cause:
  The error message BRAIN_DEV103 can be caused by several factors, including:
  
  
  Data Inconsistencies: There may be inconsistencies in the data being processed, such as missing or incorrect entries in the InfoObjects or InfoProviders involved in the aggregation.
  
  
  
  Configuration Issues: Incorrect settings in the data model, such as the configuration of the aggregation levels or the business volume elimination settings, can lead to this error.
  
  
  Performance Issues: If the system is under heavy load or if there are performance bottlenecks, it may lead to timeouts or failures in processing the data.
  
  
  Missing Authorizations: The user executing the process may not have the necessary authorizations to access certain data or