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emmanuelfabalos
Regular Visitor

Count Sales Orders by a List of Customers in another table

Hello, hope you're all well. Please I need help on selecting the correct DAX functions to use.

 

I have a Customer table identifying them with an ID and containing all their contact information, an Orders table that links the orders to that ID and third table that contains the IDs that are part of a special program for customers. The three of them have a relationship with ID field.

 

I would like to separate count the orders that were purchased by those IDs contained in the third table (members of that special program) and also the other ones to evaluate the effectiveness of the program.

 

What's the best way to do it?

1 ACCEPTED SOLUTION
AlB
Super User
Super User

Hi @emmanuelfabalos 

Showing your tables or sharing a mock pbix would make providing an answer simpler.

You can create measures and place them in a visual cards:

NumOrders_Cust_InProgram =
CALCULATE (
    DISTINCTCOUNT ( OrdersT[ID] ),
    FILTER ( ALL ( OrdersT[ID] ), OrdersT[ID] IN DISTINCT ( Table3[ID] ) )
)
NumOrders_Cust_Not_InProgram =
CALCULATE (
    DISTINCTCOUNT ( OrdersT[ID] ),
    FILTER ( ALL ( OrdersT[ID] ), NOT OrdersT[ID] IN DISTINCT ( Table3[ID] ) )
)

Please mark the question solved when done and consider giving kudos if posts are helpful.

 Cheers 

SU18_powerbi_badge

View solution in original post

2 REPLIES 2
AlB
Super User
Super User

Hi @emmanuelfabalos 

Showing your tables or sharing a mock pbix would make providing an answer simpler.

You can create measures and place them in a visual cards:

NumOrders_Cust_InProgram =
CALCULATE (
    DISTINCTCOUNT ( OrdersT[ID] ),
    FILTER ( ALL ( OrdersT[ID] ), OrdersT[ID] IN DISTINCT ( Table3[ID] ) )
)
NumOrders_Cust_Not_InProgram =
CALCULATE (
    DISTINCTCOUNT ( OrdersT[ID] ),
    FILTER ( ALL ( OrdersT[ID] ), NOT OrdersT[ID] IN DISTINCT ( Table3[ID] ) )
)

Please mark the question solved when done and consider giving kudos if posts are helpful.

 Cheers 

SU18_powerbi_badge

It worked perfectly, was just what I needed.

 

Thanks a lot.

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