Distinctly counting measure results that match a certain criteria - ssas

Question

We have a measure for feedback scores which I am trying to report on. I need to calculate how many have reached a score >5 to calculate a performance %age. The issue I have is where there is more than one score available for my member which is aggregated in my results.
Here is what I have so far:
with
MEMBER [Client Sat Score] AS ([Measures].[Avg_Score], Linkmember([Bill Period].[Fiscal].[Fiscal Period].&[201409],[Date].[Fiscal]),[Bill Period].[Fiscal].[All],[Time Slice].[KeyTimeSlice].[12M])
MEMBER [Sum Scores] AS([Measures].[Sum of Scores], Linkmember([Bill Period].[Fiscal].[Fiscal Period].&[201409],[Date].[Fiscal]),[Bill Period].[Fiscal].[All],[Time Slice].[KeyTimeSlice].[12M])
MEMBER [Number Scores] AS([Measures].[Number of Scores], Linkmember([Bill Period].[Fiscal].[Fiscal Period].&[201409],[Date].[Fiscal]),[Bill Period].[Fiscal].[All],[Time Slice].[KeyTimeSlice].[12M])
MEMBER [Over 5] As IIF([Client Sat Score]>5,1,NULL)
MEMBER [Scores Over 5] As SUM([Matter].[KeyMatterNumber].[KeyMatterNumber].members,[Over 5])
MEMBER [Percent 6 or 7s] As IIF([Number Scores]=0,NULL,[Scores Over 5] / [Number Scores])
select {[Client Sat Score],[Sum Scores],[Number Scores],[Over 5],[Scores Over 5],[Percent 6 or 7s] }
on columns,
non empty ({[Client].[KeyClientRelatedID].&[XXX] })
on rows
from [Cube]
This returns 4 for "Scores over 5" but there are actually 2 scores of 7 on one of the members. These scores are on different date keys but I am unable to stop them aggregating within the SUM.
Any suggestions/advice please?
EDIT:
I've found that if I run the following I do get the 5 separate results each with a score above 5:
select {[Measures].[Avg_Score] }
on columns,
non empty ({[Matter].[KeyMatterNumber].[KeyMatterNumber].members })*
{[Date].[KeyDate].[KeyDate].&[20130206]:[Date].[KeyDate].[KeyDate].&[20140206]}
on rows
from [Cube]
where (
[Client].[KeyClientRelatedID].&[XXXX]
)
Does this help at all with the amendment of my first query?

Answer 1

It is difficult to answer without a cube schema available. However, it sounds like you are trying to do a row level calculation post-aggregation which results in your attempts to find the combination of dimensions that will cause leaf level data to be used in the calculation. Even if possible these invariably perform badly.
I would suggest pushing this calculation into the underlying database and generating an additional dimension with banded values { [1-5], [6-7] }.
Also, you didn't mention if this Analysis Services (or another vendor) Multidimensional or Tabular - if Tabular just create a row calc for "Over 5" in the cube and use that as your new dimension members.