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,
I've encountered a problem when writing a DAX measure.
My design:
- A fact table
- A Date dimension (granularity: day)
- A Time dimension (it has Hour integers and Minute integers - only for quarters (0, 15, 30, 45)
What I want to achieve:
- Force Tabular to always AVERAGE my measure from 15-minute intervals to an hour.
- Force Tabular to always SUM the averages from first bullet.
- This has to work even when Time/Date dimensions aren't used in the pivot table/PBI.
Let's suppose this is how data at the lowest granularity looks like (there are more dimensions, though):
This is how it should look like one level higher - no more minutes:
This is how it should look like if we remove Time dimension:
And if I remove the Date dimension:
And If I don't use any dimensions:
Can anyone help me?How to achieve this in DAX?
Thanks in advance.
Solved! Go to Solution.
Hi @Anonymous
You may try below measure:
Test =
SUMX (
SUMMARIZE (
Table1,
Table1[Dim Customer],
Table1[Dim Date],
Table1[Dim Time-Hour]
),
SUM ( Table1[Value] ) / COUNT ( Table1[Dim Time-Hour] )
)
Regards,
Cherie
Hi @Anonymous
You may try below measure:
Test =
SUMX (
SUMMARIZE (
Table1,
Table1[Dim Customer],
Table1[Dim Date],
Table1[Dim Time-Hour]
),
SUM ( Table1[Value] ) / COUNT ( Table1[Dim Time-Hour] )
)
Regards,
Cherie
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 | |
| 60 | |
| 45 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 108 | |
| 107 | |
| 39 | |
| 30 | |
| 26 |