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 moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
I have the following tables:
- Calendar table (Date, ISO Year, ISO Week Number)
- Operation Data (Date, Production Area, Order Number, Labour to be Completed) - Measure (Sum of Labour to be Completed)
- Schedule Data (Date, Production Area, Labour Scheduled) - Measure (Sum of Labour Scheduled)
- Production Areas (Production Area) - Measure (Utilizaiton Pct = Sum of Labour to be Completed / Sum of Labour Scheduled)
Operation Data is filtered by Calendar and Production Areas
Schedule Data is filtered by Calendar and Production Areas
This model has two fact tables, Schedule Data, and Operation Data.
For each Production Area (say, "packaging"), for the time period selected (say "this year"), we want to see the Utilization Percentage, which works fine. The other measure that I can't get to work is to give the count of Weeks where the total utilization exceeds 100%.
This gives me the error that Summarize Columns cannot be used in this context.
Solved! Go to Solution.
@LeppyR64 , try like
Count of Weeks Above Capacity =
var tbl = filter(summarize(Fact, DateDimension[Iso Year Week], "util", [Utilization Pct]), [util] > 1)
return COUNTROWS(tbl)
@LeppyR64 , try like
Count of Weeks Above Capacity =
var tbl = filter(summarize(Fact, DateDimension[Iso Year Week], "util", [Utilization Pct]), [util] > 1)
return COUNTROWS(tbl)
That worked great. I thought I had tried that, but I must not have done it correctly. Thanks!
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 |
|---|---|
| 35 | |
| 32 | |
| 25 | |
| 22 | |
| 18 |
| User | Count |
|---|---|
| 67 | |
| 36 | |
| 32 | |
| 25 | |
| 23 |