Multiplying Measures with different dimensionality

Question

New to Essbase but very experienced with OLAP
My cube has 3 dimensions FCO, STAT and VALID
1st Measure DATA1 is stored at the leaf values for FCO and STAT and at the VALIDTotal (parent) for the Valid Dim
2nd Measure DATA2 is stored at the leaf values for FCO and VALID and at the StatTotal (parent) for the Stat Dim
(Essentially the VALID dimension in DATA1 is irrelevant and the STAT dimension in DATA2 is irrelevant)
When I do a simple calc of DATA1 * DATA2; no data is returned because when you match the dimensions one measure has data at the leaf level but the other doesn't.
I need to multiply each of the leaf values of the STAT dimension in Measure DATA1 with each leaf value of the VALID dimension in Measure DATA2
Below is an example
Data1
Stat1 Stat2 Stat3 StatTotal
FCO1 10 15 5 -
FCO2 20 25 10 -
FCO3 30 35 15 -
FCOT 60 75 30 -
Data2
Valid1 Valid2 Valid3 ValidTotal
FCO1 1 1 -
FCO2 1 1 -
FCO3 1 1 1 -
Total - - - -
Desired Results:
Valid1 Valid2 Valid3 Valid1 Valid2 Valid3 Valid1 Valid2 Valid3
Stat1 Stat1 Stat1 Stat2 Stat2 Stat2 Stat3 Stat3 Stat3
FCO1 10 10 15 15 5 5
FCO2 20 20 25 25 10 10
FCO3 30 30 30 35 35 35 15 15 15
Total 60 40 50 75 50 60 30 20 25
Does anyone have a suggestion as to what the formula would look like?
Thanks in advance

Answer 1

The forum tends to change the post and made it difficult to read, but I think I deciphered what you had (putting zeroes in instead of leaving them blank would have helped with the Data2 section).
BTW: Here is how I decoded the data sets you provided (with slight name changes):
     Stat1     Stat2     Stat3     StatT          Valid1     Valid2     Valid3     ValidT
FCO1     10     15     5               1     1     0     
FCO2     20     25     10               1     0     1     
FCO3     30     35     15               1     1     1     
FCOT     60     75     30                              
     Valid1     Valid2     Valid3     Valid1     Valid2     Valid3     Valid1     Valid2     Valid3
     Stat1     Stat1     Stat1     Stat2     Stat2     Stat2     Stat3     Stat3     Stat3
FCO1     10     10     0     15     15     0     5     5     0
FCO2     20     0     20     25     0     25     10     0     10
FCO3     30     30     30     35     35     35     15     15     15
FCOT     60     40     50     75     50     60     30     20     25For future reference, you can copy/paste excel data inside a "code" tag to show it like I did above.
Here is what I would do, assuming I interpreted the need correctly as above:
1) Create a non-aggregating Stat_Input member (in the Valid dimension) to load the first data set.
2) Create a non-aggregating Valid_Input member (in the Stat dimension) to load the second data set.
3) Load the first data set to the new Stat_Input member of the Valid dimension.
4) Load the second data set to the new Valid_Input member of the Stat dimension.
5) Use a calc script to spread the input member to the Stat1/Stat2/State3 members based on Valid1/Valid2/Valid3 values
- Stat1 = Stat_Input * Valid1->Valid_Input;
- Stat2 = Stat_Input * Valid2->Valid_Input;
- Stat3 = Stat_Input * Valid3->Valid_Input;
It may seem confusing to have the Valid_Input in the stat dimension (and vice versa), the point is that this is where the inputs for the respective data goes, and then they are spread to the intersections based on cross-dimensional references that "link" the inputs to the other members. If you were to give the members names based on the current dimension, it would be more confusing because they wouldn't represent the purpose that they serve.
I realize this is likely to generate more questions, but if you can give this approach a try you may find that it isn't as difficult as it seems.