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Anonymous
Not applicable

Unable to get top 20% customers based on Sales

Hello Fam,

I am using below two measures to calculate Top 20% customers based on sales:-

Unique Customers = DISTINCTCOUNT(BI_SALESFACT[CUSTOMER_NO])

Top 20% Customers = IF(ISBLANK([NetSales_Cal]),
BLANK(),
IF(RANKX(ALL(BI_SALESFACT),[NetSales_Cal], , DESC) < (CALCULATE([Unique Customers],ALL(BI_SALESFACT)) * 0.2),
[NetSales_Cal],
BLANK()))

But, unfortunately it is throwing below attached error. 
Any help in rectifying the error will be appreciated.

Regards,
Sumit

Sumit671_0-1655966939917.png

 

1 ACCEPTED SOLUTION
v-yangliu-msft
Community Support
Community Support

Hi  @Anonymous ,

I created some data:

vyangliumsft_0-1656381377866.png

Here are the steps you can follow:

1. Create measure.

Sum_group =
SUMX(FILTER(ALL(BI_SALESFACT),'BI_SALESFACT'[CUSTOMER_NO]=MAX('BI_SALESFACT'[CUSTOMER_NO])),[NetSales_Cal])
rank =
RANKX(ALLSELECTED(BI_SALESFACT),[Sum_group],,DESC)
Flag =
var _Discount =
CALCULATE(DISTINCTCOUNT('BI_SALESFACT'[CUSTOMER_NO]),ALL(BI_SALESFACT)) / 20
return
IF(
    [rank] <=_Discount,1,0)

2. Place [Flag]in Filters, set is=1, apply filter.

vyangliumsft_1-1656381377868.png

3. Result:

vyangliumsft_2-1656381377868.png

 

Best Regards,

Liu Yang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly

View solution in original post

2 REPLIES 2
v-yangliu-msft
Community Support
Community Support

Hi  @Anonymous ,

I created some data:

vyangliumsft_0-1656381377866.png

Here are the steps you can follow:

1. Create measure.

Sum_group =
SUMX(FILTER(ALL(BI_SALESFACT),'BI_SALESFACT'[CUSTOMER_NO]=MAX('BI_SALESFACT'[CUSTOMER_NO])),[NetSales_Cal])
rank =
RANKX(ALLSELECTED(BI_SALESFACT),[Sum_group],,DESC)
Flag =
var _Discount =
CALCULATE(DISTINCTCOUNT('BI_SALESFACT'[CUSTOMER_NO]),ALL(BI_SALESFACT)) / 20
return
IF(
    [rank] <=_Discount,1,0)

2. Place [Flag]in Filters, set is=1, apply filter.

vyangliumsft_1-1656381377868.png

3. Result:

vyangliumsft_2-1656381377868.png

 

Best Regards,

Liu Yang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly

amitchandak
Super User
Super User

@Anonymous , refer to the approach in this blog, that can help

https://exceleratorbi.com.au/pareto-analysis-in-power-bi/

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