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Hello Community,
In my model, I have 2 dimension tables and one fact table.
The first dimension table includes only my brands.
| Brand ID | BRand | Mode | 
| 1 | Audi | A1 | 
| 2 | Audi | A3 | 
The second dimension table includes my competitors brands and also my brands.
| Competitor ID | Competitor Brand | Competitor Model | 
| 1 | Skoda | Fabia | 
| 2 | Audi | A3 | 
| 3 | Peugeot | 203 | 
| 4 | PEugeot | 205 | 
| 5 | Audi | A1 | 
| 6 | PEugeot | 2008 | 
The data model looks like below:
I would like to create a Dax that would say: calculate the "Promo" only when model in the "My Brand" dim table is equal to the model in the "My Competitor" dim table.
What dax formula could I use?
Thank you
Solved! Go to Solution.
My fault, I had a ) in the wrong place. I've edited my post to correct it.
Try
Promo same brands =
SUMX (
    'Fact table',
    IF (
        RELATED ( 'My brands'[Brand] ) = RELATED ( 'My competitors'[Brand] ),
        'Fact table'[Promo]
    )
)
					
				
			
			
				
			
			
				
			
			
			
			
			
			
		HI @johnt75 ,
Thanks for your reply.
I have tried to adapt your Dax to my need : In my fact, there is also a column to identify the type of promo.
For exemple, I want to calculate the Promo for the "Rebate" type.
I tried the following but obviously is inccorrect:
SUMX (
    'Fact table',
    IF (
        RELATED ( 'My brands'[Brand] ) = RELATED ( 'My competitors'[Brand] ), Filter( lookup_promotype[Promo Type] = "Rebate"),
        'Fact table'[Promo]
    )
)
Or is it possible to use the Related function with Calculte?
Try
SUMX (
    'Fact table',
    IF (
        RELATED ( 'My brands'[Brand] ) = RELATED ( 'My competitors'[Brand] ) && RELATED( lookup_promotype[Promo Type]) = "Rebate",
        'Fact table'[Promo]
    )
)
@johnt75 I get an error message : Function RELATED expects a fully qualified column reference as its argument.
the part
RELATED( lookup_promotype[Promo Type] = "Rebate"
seems to be the issue.
My fault, I had a ) in the wrong place. I've edited my post to correct it.
@johnt75 Question by curiosity: in this case, what would be more efficient, using Calulate(sum()) or using Sumx like you did?
I don't think you could do it without SUMX, as you need to get a row context to compare the values from my brands and competitors.
You could wrap that SUMX in a CALCULATE to perform the filtering on promo type, not sure which would be more efficient, you'd need to do tests using DAX Studio, but unless it was a very large dataset I would think the difference would be negligible.
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