Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hello everyone,
i need a Measure for the following Example:
- The "Dunning Level" Column needs to be filled with the measure
- If "Dunning Level 1" >= Todays Date --> "Dunning Level" should be filled with "Level 1"
- If "Dunning Level 2" >= Todays Date --> "Dunning Level" should be filled with "Level 2"
- If "Dunning Level 3" >= Todays Date --> "Dunning Level" should be filled with "Level 3"
- If "Dunning Level 4" >= Todays Date --> "Dunning Level" should be filled with "Level 4"
I already created it in Excel, but I dont know how to do it with a measure in Power Bi (its german language):
Many thanks for your help!
Kind regards,
Florian
Solved! Go to Solution.
I solved the problem with the following code:
I solved the problem with the following code:
Hi @Flo95
I would suggest you need a calculated column, but not a measure
SWITCH(
TRUE(),
[Dunning Level 1] >= TODAY(), "Level 1",
[Dunning Level 2] >= TODAY(), "Level 2",
[Dunning Level 3] >= TODAY(), "Level 3",
[Dunning Level 4] >= TODAY(), "Level 4",
"N/A"
)
Hi @az38
The columns "Dunning Level 1/2/3/4" were also created by an Measure.
Is it still possible to do a calculated column then?
Im pretty new working with Power BI
Many thanks for your response!
Kind regards,
Florian
Hello @az38
I tried it this way now:
But as you can see they all should be in Dunning Level 4, because Today we have 2024 and all of this orders are from 2023.
So it doesnt switch from Dunning Level 1 to Dunning Level 2, Level 3 and Level 4. Do you understand?
Many many thanks again for your help!
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 68 | |
| 61 | |
| 45 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 109 | |
| 108 | |
| 39 | |
| 30 | |
| 27 |