Best way to setup data model with many to manys and normalized tables

[jvirgi]

All - I have a test data model design here where I have multiple normalized dimension tables but the measures don't seem to give me the right counts.   When you have many dimension tables like this that have many to many's,  is this the way to properly setup the data model, or is it better to try to design a different, denormalized design?

Sample PBIX 

[lbendlin]

Don't attempt to join fact tables. They should only be controlled by common dimensions. Don't have 1:1 relationships.  Don't have bidirectional relationships unless it is absolutely unavoidable.

[jvirgi]

@lbendlin I got rid of the fact to fact joins. The 1:1 i will merge together. But is there any better option than still having this long string of bidirectionals to span all the factless fact and dimension tables?

[lbendlin]

As long as it remotely resembles a star schema you should be good.  The data model needs to follow the business question, don't expect a single data model version to anwer all of yours.