How can I recursively get the breakdown of "Others" when Top N is applied to dimensions?
Imagine a measure Sales Amount is sliced by 3 dimensions, Region, Category and Product, and Top 1 is applied to each dimension. The result I want to see is a table like below. On each slice, the rest of members are grouped as "Others".
Region | Category | Product | Sales
============================================
Europe | Bikes | Mountain Bikes | $100
| |------------------------
| | Others | $ 30
|-----------------------------------
| Others | Gloves | $ 50
| |------------------------
| | Others | $120
--------------------------------------------
Others | Clothes | Jackets | $ 80
| |------------------------
| | Others | $130
|-----------------------------------
| Others | Shoes | $ 90
| |------------------------
| | Others | $110
--------------------------------------------
When an "Others" appears, I want to see the Top 1 of the next dimension within the scope of this "Others". This seems a little tricky. e.g. tuples like (North America, Clothes) and (Central America, Clothes) need to be aggregated as (Other Regions, Clothes). Is there a neat way to aggregate the measure based on the 2nd dimension, Category?
Alternatively, I think a sub cube that filters out Europe will easily provide the breakdown of Other Regions, Clothes and Other Categories. However, this is likely to result in creating many dependent queries. For an easy processing of the result set, it would be ideal if the query returns data in the above format.
Can this be possibly achieved by a single MDX query?