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Thank you in advance. I really appreciate the help.
Here's what I have.
1. Employee table - data is grouped by (1) employee and (2) day. Sample data:
Name | Date | Calls Taken | Abandoned Calls | Title |
Susan | 1/1/23 | 100 | 2 | Sales I |
Susan | 1/2/23 | 100 | 1 | Sales I |
John | 1/1/23 | 100 | 5 | Sales I |
John | 1/2/23 | 100 | 4 | Sales I |
Dawn | 1/1/23 | 100 | 3 | Sales II |
Dawn | 1/2/23 | 100 | 2 | Sales II |
2. Goal table - has a relationship to the Employee table based on Title
Title | Abandon Rate Target |
Sales I | 2% |
Sales II | 1% |
3. Abandon Rate measure: sum(abandoned calls)/sum(calls)
I need a measure that would show me how many unique employees meet their target. I tried:
1. Countrows with Filter where abandonrate <= Target - this didn't work because PBI counts the employee as meeting target if they meet their abandon rate on one day even if their total average rate is below target
2. Calculate and distinctrow nested formula filtered to abandonrate <= target - getting "A function 'PLACEHOLDER" has been used" error
Any help is appreciated.
Solved! Go to Solution.
@Thanksall , Create measures like
m1 = divide(Sum(Employee[Abandoned]) , Sum(Table[call Taken]))
m2 = countx( Values(Employee[Name]) ,
var _target = maxx(filter(Goal, Goal [Title] =max( Employee[Title]) ), Goal[Abandon Rate Target])
return
if([M1]> _target , [Name], blank())
)
Is this what you are looking for?
https://1drv.ms/u/s!AiUZ0Ws7G26Rhg3feXrRldVNr4-t?e=s02Mjb
@Thanksall , Create measures like
m1 = divide(Sum(Employee[Abandoned]) , Sum(Table[call Taken]))
m2 = countx( Values(Employee[Name]) ,
var _target = maxx(filter(Goal, Goal [Title] =max( Employee[Title]) ), Goal[Abandon Rate Target])
return
if([M1]> _target , [Name], blank())
)
This works, I had to add a condition in your if function to ignore names where the abandon rate is blank, but this is exactly what I was looking for. Thank you so much.
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