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Hi everybody,
I have the following challenge.
The following table is available to me for our sales submit.
| Submitted Date | Name | Designation | Region | Status |
| 10/10/2021 | ABC | Jr. Corp Sales | West | Approved |
| 10/10/2021 | CBA | Sr. Corp Sales | East | Rejected |
| 11/2/2021 | GFA | Corp Sales | Central | Approved |
And I want every employee to have a permanent monthly target based on the designation.
| Name | Designation | Target |
| ABC | Jr. Corp Sales | 3 |
| CBA | Sr. Corp Sales | 5 |
| GFA | Corp Sales | 4 |
So I can see the performance of each employee based on the number of approval statuses each month with the remaining or exceeded targets, like this.
| Month | Name | Approved | Target | Score or Variance |
| Jan 21 | ABC | 1 | 3 | -2 |
| Feb 21 | ABC | 4 | 3 | +1 |
I would be happy about your support.
Solved! Go to Solution.
@Anonymous , Join the second Table with first Table and also join first table with date table and have month year column
Target Score=
Sumx(Table1, related(Table2[Target])
Variance = Countrows(Filter(Table1[Status] = "Approved")) - [Target Score]
Hi @Anonymous ,
Create a relationship between two tables by using column [name].
Then create a measure as below:
Measure =
var c_approved = CALCULATE(COUNT(sales[Status]),FILTER(sales,sales[Status]="Approved"))
return
c_approved-SELECTEDVALUE(Target[Target])
Best Regards,
Jay
@Anonymous , Join the second Table with first Table and also join first table with date table and have month year column
Target Score=
Sumx(Table1, related(Table2[Target])
Variance = Countrows(Filter(Table1[Status] = "Approved")) - [Target Score]
Hi, thank you for replying me. But I want to show you, why the variance get the wrong calculation? Can you provide me again? I using Merge Queries as new, from first table to second table with LeftOuter join.
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