Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
I think this is simple, but I am new to DAX and data modeling. I am using Excel & Power Query.
I have 2 tables: RS_Cases (fact table) and Date_Table (dimension table).
The goal is to create a power pivot with slicers for dates and programs to track backlog cases. The following measure calculates the total backlog:
Backlog:=CALCULATE(
COUNTROWS(RS_Cases),
FILTER(
ALL(RS_Cases),
(RS_Cases[Due By]<=MAX(Date_Table[Date]) && RS_Cases[Status]="OPEN") ||
(RS_Cases[Due By]<=MAX(Date_Table[Date]) && RS_Cases[Entrance Date]>Max(Date_Table[Date])) ||
(RS_Cases[Due By]<=MAX(Date_Table[Date]) && ISBLANK(RS_Cases[Entrance Date]) && RS_Cases[Status]="CLOSED" && RS_Cases[Status Change Date]>MAX(Date_Table[Date]))
)
)
But now I want this measure to give me the total backlog based on the program (field in RS_Cases) selected in the pivot table.
I tried building a 2nd dimension table for Program, creating a relationship with the fact table. Then tried to alter the measure above like this:
Backlog:=CALCULATE(
COUNTROWS(RS_Cases),
USERELATIONSHIP(Programs[Program],RS_Cases[Program]),
FILTER(
ALL(RS_Cases),
(RS_Cases[Due By]<=MAX(Date_Table[Date]) && RS_Cases[Status]="OPEN") ||
(RS_Cases[Due By]<=MAX(Date_Table[Date]) && RS_Cases[Entrance Date]>Max(Date_Table[Date])) ||
(RS_Cases[Due By]<=MAX(Date_Table[Date]) && ISBLANK(RS_Cases[Entrance Date]) && RS_Cases[Status]="CLOSED" && RS_Cases[Status Change Date]>MAX(Date_Table[Date]))
)
)
I used the program field from the dimension table when I built the pivot, but the measure does not change when I filter the pivot table by program.
Where am I going wrong here?
hi @Txtcher ,
try like:
Backlog:=CALCULATE(
COUNTROWS(RS_Cases),
USERELATIONSHIP(Programs[Program],RS_Cases[Program]),
FILTER(
ALL(RS_Cases[Due By], RS_Cases[Status], RS_Cases[Entrance Date], RS_Cases[Status],RS_Cases[Status Change Date]),
(RS_Cases[Due By]<=MAX(Date_Table[Date]) && RS_Cases[Status]="OPEN") ||
(RS_Cases[Due By]<=MAX(Date_Table[Date]) && RS_Cases[Entrance Date]>Max(Date_Table[Date])) ||
(RS_Cases[Due By]<=MAX(Date_Table[Date]) && ISBLANK(RS_Cases[Entrance Date]) && RS_Cases[Status]="CLOSED" && RS_Cases[Status Change Date]>MAX(Date_Table[Date]))
)
)
Thank you for your response. Unfortunately, this solution is not working (I corrected the red filter text in it had [Status] in twice.
It gives me too low a count. To get the correct backlog count, I can't filter the RS_Cases table to only include cases sent to the Region (primary key) to the month selected, or to only cases with a Due By date in the month selected. I need to filter the entire table to get the correct counts.
Thoughts?
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
14 | |
10 | |
10 | |
9 | |
9 |
User | Count |
---|---|
20 | |
13 | |
12 | |
11 | |
8 |