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TTS
Frequent Visitor

Product BOM modeling, measures and matrix visual

I have "flattened" my bom structure to one table with columns like this:

TTS_0-1692545517382.png


I have product table (like item data) for attribute values (like std price) by part:

TTS_1-1692545587608.png


Now:
I am able to create a hierarchy from partid_level columns - and it is working: when I select mainitem I am able to see the parts under it in matrix visual:

TTS_2-1692546069246.png


What I need now: 
1. way to show qty for each part based on the qty_level columns

2. std price value from my item table for each part

3. measure to calculate qty_level x std_price

Anyone?

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@TTS , For That you can have measure like

 

Sumx(Table, Table[Qty] * Table[Price])

 

if price is in master(1-m Join)

 

Sumx(Table, Table[Qty]* realted(Item[Price]) )

 

Because you have different levels, Use isinscope to switch such levels, Lowest level first

 

IsInScope - Switch Rank at different levels: https://youtu.be/kh0gezKICEM

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View solution in original post

3 REPLIES 3
omkar28
Frequent Visitor

Hi users, @amitchandak , @TTS 

Great that you got required output.
But I want to know how do modelled the tables there because when you join mainitem (BOM table) with PART (DIM_PARTS), you will get the same price of mainitems for part levels of that mainitem.
Expectation is to get price of part level items in the matrix.

amitchandak
Super User
Super User

@TTS , For That you can have measure like

 

Sumx(Table, Table[Qty] * Table[Price])

 

if price is in master(1-m Join)

 

Sumx(Table, Table[Qty]* realted(Item[Price]) )

 

Because you have different levels, Use isinscope to switch such levels, Lowest level first

 

IsInScope - Switch Rank at different levels: https://youtu.be/kh0gezKICEM

Join us as experts from around the world come together to shape the future of data and AI!
At the Microsoft Analytics Community Conference, global leaders and influential voices are stepping up to share their knowledge and help you master the latest in Microsoft Fabric, Copilot, and Purview.
️ November 12th-14th, 2024
 Online Event
Register Here

Hi @amitchandak 

And great thanks for Your message; I was too close to see it clearly from my data model point of view.
I made few changes and was able to avoid sumx by using hierarchy values and by creating enough measures...and then switch ( true () ... to get correct measure to correct level.

TTS_0-1692618478767.png


Logic works...now it is time to check values. 
Great thanks! 💪



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