This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
Hi,
I need to create a measure to calculate # of cases that were opened for longer than 90 days and visualize it on a historical line chart. So, something like if time frame between date open and date closed is equals to 90 or more days then count that or if date closed is blank AND date opened to today is equals to, or more than 90 days then count that too.
I do not understand time calculations well enough to do this myself, so I am asking for help. Attaching a sample of my dashboard as well.
Solved! Go to Solution.
Hello, @Unknowncharacte ,
try something like this:
LongerThan90 = COUNTROWS(FILTER('Fact Table', ( IF( ISBLANK('Fact Table'[Date Closed]), TODAY(), 'Fact Table'[Date Closed]) - 'Fact Table'[Date Opened] ) > 90))
@Unknowncharacte Should be able to modify Open Tickets for this purpose:
Open Tickets - Microsoft Fabric Community
Thank you so much for the reference!
Your question has nothing to do with Time Intelligence functions.
Use COALESCE() to replace blank Closed Date on the fly.
= COALESCE( MAX( 'Fact Table'[Date Closed] ), TODAY() ) - MAX( 'Fact Table'[Date Opened] ) >= 90
Expertise = List.Accumulate( {Days as from Today}, {Skills and Knowledge}, (Current, Everyday) => Current & Day.LearnAndPractise(Everyday) ) |
Alright, what would you refer it as?
Hello, @Unknowncharacte ,
try something like this:
LongerThan90 = COUNTROWS(FILTER('Fact Table', ( IF( ISBLANK('Fact Table'[Date Closed]), TODAY(), 'Fact Table'[Date Closed]) - 'Fact Table'[Date Opened] ) > 90))
Thank you so, so much!
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 34 | |
| 31 | |
| 25 | |
| 20 | |
| 16 |
| User | Count |
|---|---|
| 61 | |
| 49 | |
| 28 | |
| 23 | |
| 23 |