How To Fix BRAIN_DEV055 - Element &1: CURRENT MEMBER and stock coverage need same reference

SAP Error Message - Details

• Message type: E = Error

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

• Message number: 055

• Message text: Element &1: CURRENT MEMBER and stock coverage need same reference

What causes this issue?

Element &V1& contains a selections on characteristic &V2& with a CURRENT
MEMBER variable. It also contains a stock coverage key figure with
exception aggregation reference characteristic &V3&, that is used as a
time characteristic for the stock coverage calculation.
The combination of a stock coverage key figure and a CURRENT MEMBER
variable is only possible if both characteristics are the same.

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?

Change the query according to the above restrictions.

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_DEV055 - Element &1: CURRENT MEMBER and stock coverage need same reference ?

  The SAP error message BRAIN_DEV055 typically occurs in the context of SAP BW (Business Warehouse) or SAP Analytics Cloud when there is a mismatch in the reference members used in a query or report. This error indicates that the current member and stock coverage need to reference the same element or dimension, which is essential for the calculation or analysis being performed.
  
  Cause:
  
  Mismatched Dimensions: The error often arises when the current member (the member being analyzed) and the stock coverage (the measure or value being calculated) are not aligned in terms of their dimensional references.
  Incorrect Query Design: If the query is designed in such a way that it pulls data from different dimensions or hierarchies that are not compatible, this error can occur.
  Data Model Issues: There may be issues in the underlying data model, such as incorrect relationships or missing attributes that lead to this inconsistency.
  
  
  Solution:
  
  Check Query Design: Review the query