Dynamic Segmentation/ Bucketing/ Binning 09-22-2020 04:44 AM

[amitchandak]

Dynamic Segmentation/ Bucketing/ Binning

Created an independent bucket Table.

Create measures that take advantage of those buckets

Actual Measure 

Margin % = DIVIDE([Margin],[Sales]) 

The measure we would like to become the parameter/slicer

Margin Type = Switch( True(),
[Margin %] < -.2 , "Very Bad",
[Margin %] <0 , "Bad",
[Margin %] <.1 , "Netural",
[Margin %] <.25 , "Good",
"Very Good"
)

The independent Table we created 

Start Limit	End Limit	Bucket
-1000	-0.2	Very Bad
-0.2	0	Bad
0	0.1	Netrual
0.1	0.25	Good
0.25	1000	Very Good

Bucketed measures 

Margin Bucket = COUNTX(filter(VALUES(customer[Customer Id]),[Margin %] >=Min('Margin Bucket'[Start Limit]) && [Margin %] <max('Margin Bucket'[End Limit])),customer[Customer Id])
Avg Margin Bucket = AVERAGEX(filter(VALUES(customer[Customer Id]),[Margin %] >=Min('Margin Bucket'[Start Limit]) && [Margin %] <max('Margin Bucket'[End Limit])),[Margin %])

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[alialsayer]

This is fantastic; thank you for your prompt response; however, I have a slightly different situation. First, I have to group values by date for each customer, and then I should use the bucket. I am trying to find a way to do this in the DAX function instead of grouping values for each customer & date in a table to avoid performance issues.

[Anonymous]

Hi Amit,

I have followed this and getting below result which is incorrect:

Total is correct but it is not segregating according to buckets.

Till here its fine, 

But as soon as I add Measure as below it only gives total but does not segregate

My Measure is below:

Age Bucket = COUNTX(filter(VALUES(TrusteeClaimsList_Decision[PolicyCaseBenefitKey]),[Age of Pending Claims] >=Min('Age_Pending_Bucket Table'[Start Limit]) && [Age of Pending Claims] <=max('Age_Pending_Bucket Table'[End Limit])),TrusteeClaimsList_Decision[PolicyCaseBenefitKey])

Can you please help, it should be as below: