Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi,
We are facing logical issue in the measure. Our problem statement is daily utilisation % over time & when we tried calculation in dax query the values are different.
Formula = Total volume done/(Target productivity * Days worked * Employee who worked)
When we drill down month wise, we are getting..
YTD value & month value is different.
Can you help me to fix this problem..
@Anonymous
Hi @Anonymous,
Can you please share a pbix or some dummy data that keep raw data structure with expected results? It should help us clarify your scenario and test to coding formula.
How to Get Your Question Answered Quickly
Regards,
Xiaoxin Sheng
@Anonymous , Are these measures or columns Ideally it should like using columns
Formula =
divide( Sum(Table[Total volume done], Sumx(Table, Table[Target productivity] * Table[Days worked] * Table[Employee who worked] ))
Or force multiplication on the group if these are a measures
Divide([Total volume done], sumx(Values(Table[Month Year]) , [Target productivity] * [Days worked] * [Employee who worked] ) )
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
20 | |
7 | |
6 | |
5 | |
5 |
User | Count |
---|---|
26 | |
10 | |
10 | |
9 | |
6 |