topic Re: DAX Measure to Summarize Ship-To State when there are 2 Order Fact Tables in DAX Commands and Tips

DAX Measure to Summarize Ship-To State when there are 2 Order Fact Tables

Karl-D — Fri, 17 May 2024 01:44:29 GMT

I have the following tables and relationships:

fact_orders_a = orders from one system
fact_orders_b = orders from another system
dim_customer = 1:* to each fact on dim_customer_key
dim_item = 1:* to each fact on dim_item_key

I have a matrix visual showing:

Customer Name = dim_customer.customer_name
Item Name = dim_item.item_name
Order Measure = distinctcount(fact_orders_a.order_number) + distinctcount(fact_orders_b.order_number)
Qty Measure = sum(fact_orders_a.order_qty) + distinctcount(fact_orders_b.order_qty)

If I try to add the "Ship-To State" field from either fact table to this visual, it shows all "Ship-To-States" since the fact tables aren't directly related.

How can I use DAX to create a measure that shows the Country and State from the applicable fact_orders table records on the rows?

Re: DAX Measure to Summarize Ship-To State when there are 2 Order Fact Tables

Jihwan_Kim — Fri, 17 May 2024 02:49:16 GMT

Hi,

I am not sure how your semantic model looks like, but one of ways to achieve this is to use SWITCH DAX function in the measure with your business rules when to use which fact table.

SWITCH function (DAX) - DAX | Microsoft Learn

Re: DAX Measure to Summarize Ship-To State when there are 2 Order Fact Tables

Karl-D — Fri, 17 May 2024 14:08:45 GMT

Hi Jihwan_Kim. I understand SWITCH function, and it may come into play here later. Thank you for your suggestion.

However, the main issue with my model is that, since the two order tables are not directly related, attempting to show a ship-to-state in the rows section of the matrix works for rows where the values are from that table, but for rows where the values are from the other table, it shows all ship-to-states.

Re: DAX Measure to Summarize Ship-To State when there are 2 Order Fact Tables

Karl-D — Fri, 17 May 2024 14:21:38 GMT

To illustrate, the point of the matrix on the right is to combine the two on the left.
You'll see that the totals are correct.

I'm just trying to figure out how I can avoid the cartesian product where every ship-to-state from each of the two fact tables is shown rather than just those that are involved in the totals.

In this example, the "total bottles" measure is calculated as follows

= CALCULATE( DISTINCTCOUNT('fact_orders_a'[Order No.]) ,'fact_orders_a'[Customer Type]="Wholesale" ,'fact_orders_a'[Is Refunded Order]=FALSE()) - CALCULATE( DISTINCTCOUNT('fact_orders_a'[Order No.]) ,'fact_orders_a'[Customer Type]="Wholesale" ,'fact_orders_a'[Is Refunded Order]=TRUE()) + CALCULATE( DISTINCTCOUNT('fact_orders_b'[order_no]) )