How To Fix BRAIN156 - Key figure &1 cannot be processed consistently in InfoProvider &4

SAP Error Message - Details

• Message type: E = Error

• Message class: BRAIN -

• Message number: 156

• Message text: Key figure &1 cannot be processed consistently in InfoProvider &4

What causes this issue?

The key figure &V2&[&V1&] has generic aggregation V3&. These types of
key figures are only released for internal use because they only provide
consistent results in very specific situations. In this case, &V2& is
contained in the InfoProvider &V4&, which cannot guarantee the provision
of non-aggregated data. One example of this provider type is an
InfoCube. With an InfoCube, the result of &V2&[&V1&] depends on whether
compression took place or not.

System Response

The query cannot use aggregates or database aggregation for this
InfoProvider (PartProvider). The data is then transferred on the most
detailed level from the InfoProvider to the OLAP processor.

How to fix this error?

Transfer the query or the InfoProvider &V4&

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 BRAIN156 - Key figure &1 cannot be processed consistently in InfoProvider &4 ?

  The SAP error message BRAIN156 indicates that there is an issue with the processing of a key figure in an InfoProvider. This error typically arises in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence) when there are inconsistencies or issues with the data model or the data itself.
  
  Cause:
  
  Inconsistent Data: The key figure may have inconsistent data that cannot be aggregated or processed correctly.
  Data Model Issues: There may be issues with the data model, such as incorrect settings in the InfoProvider or the key figure itself.
  Missing Aggregation Levels: The key figure might not have the necessary aggregation levels defined, which can lead to inconsistencies during data processing.
  Data Type Mismatch: There could be a mismatch in data types between the key figure and the InfoProvider.
  Incorrect Calculation Logic: If the key figure is calculated based on other key figures, there may be an error in the calculation logic.
  
  
  Solution:
  
  Check Data