Build Measure summing up 3 individual measures with no interactions to each other

[Micha05]

Hi all, 

the search and all topics around did not help me to get my job done. 

I'm trying to use PBI as a Configurator. 

https://i.ibb.co/C0bKD3T/2020-09-15-09-49-22-Window.png

What I did - I added 3 different parameter for selecting the qty and 3 slicer from the same column (CFN) and 3 tables which show the selection in CFN slicer the according information and multiplied by the qty. Within the table I'm doing some calculations and get to a final net. Each table has their own measure for the columns, thus every Final net is a stand alone measure based on the calculations in the table. 

to achieve that each slicer (CFN) reflects only the table next to it, I changed the interactions to not interact. 

Now I come to my issue. I'd like to have a measure down below the table that shows me the sum of all 3 stand alone final net measure. How can i achieve that? 

Many thanks for your help in advance, 

Michael 

[amitchandak]

@Micha05 , In that case, you have two create three measures like

measure =
calculate([measure], filter(Table, Table[col1] = "ABC"))

measure =
calculate([measure], filter(Table, Table[col1] = "ABC"), removefilters(Table[col1]))

[Micha05]

Thanks @amitchandak for your quick reply and approach. To be sure if I get your point right. The slicers called 'CFN' are highly dynamic. there are 100+ values available which users could select, but it seems in your measures I need to fix a value > = "ABC". 

There are already 3 measure for each individual net for the 3 tables but what I'm wondering is how I can I tell the new measure it should sum up the 3 final net regardless the interactions. 

Best, 

Michael

[amitchandak]

@Micha05 , if you want dynamic, then you need to have independent slicers. Two independent slicers at least

example

// removing default slicer and using second slicer
measure =
calculate([measure], filter(Table, Table[col1] = selectedvalue(Slicer2[Col1])), removefilters(Table[col1]))

measure =
calculate([measure], filter(Table, Table[col1] in values(Slicer2[Col1])), removefilters(Table[col1]))

[Micha05]

Does 2 independet filters mean that they also need two different columns? Or could the 2 slicers based on the same column from the same table only with disabled interactions?

[Anonymous · Accepted solution]

Hi @Micha05 ,

Edit interactions only affect corresponding visuals. In your scenario you will need to create a slicer table for each visual.

Best Regards,

Jay