I have the following model setup:
Fact B table is interconnection between A and C, but A and C are completely independent of each other. What this means, is that we do reports on Fact C independent of data in Fact A and we do reports on Fact A independent of data in Fact C. When we do reports on Fact B, Fact A and Fact C are used for filtering, so they become dimensions in that case.
With the current setup, if I report something on Fact A (e.g. an aggregate), and I have Dimension X set as a report level filter, if there is no corresponding row in Fact B for a row in Fact A, the row in Fact A is not included in the calculation. Which is an expected scenario for my model setup, but not for my use case.
Now, I'm thinking that I should import Fact C and Fact A tables twice, and the second time renamed them into Dimensions. Then, the Fact tables should never be interconnected with each other. Is this a good approach? I want to keep Dimension X and Dimension Z as common filter for ALL fact tables reports, so I can use them as global page or report level filters. Use them as slicers as well.
Thanks!
Gorgi.