Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
Hi All
Help!!!!! How can I make this dax code faster its too slow and i dont like it
HeadCount 12M (ColleagueType) =
VAR MonthSelected = SELECTEDVALUE(Calender[End of Month],EOMONTH(UTCTODAY(),-1))
VAR SummarizedTable =
CALCULATE(SUMX(SUMMARIZE (
FACTTABLE,
FACTTABLE[RepMonth],
/*FACTTABLE[Employee Type],*/
"EmployeeDistinctCount",
CALCULATE (
DISTINCTCOUNT ( FACTTABLE[Employee Number] ),
FILTER ( FACTTABLE, FACTTABLE[Name] = "People Operation" ))),
[EmployeeDistinctCount]),ALLEXCEPT(FACTTABLE,Calender[End of Month]),
DATESBETWEEN(Calender[End of Month],EOMONTH(MonthSelected,-12),MonthSelected))
VAR MonthCount = CALCULATE((COUNTX(SUMMARIZE (
FACTTABLE,
FACTTABLE[RepMonth],
"EmployeeDistinctMonth",
CALCULATE (
DISTINCTCOUNT ( FACTTABLE[RepMonth - Copy]),
FILTER ( FACTTABLE, FACTTABLE[Name] = "People Operation" ))),[EmployeeDistinctMonth])),DATESBETWEEN(Calender[End of Month],EOMONTH(MonthSelected,-12),MonthSelected))
VAR MovingAverage = DIVIDE(SummarizedTable,MonthCount,0)
Return
MovingAverage
Hi @VizsWork ,
We can use GROUPBY instead of SUMMARIZE. Please refer to the third - party blog.
https://www.sqlbi.com/articles/nested-grouping-using-groupby-vs-summarize/
Proud to be a PBI Community Champion
| RepMonth | Count |
| Nov-18 | 7 |
| Dec-18 | 6 |
| Jan-19 | 7 |
| Feb-19 | 7 |
| Mar-19 | 6 |
| Average (Sum by month/no of Month) | 7 |
| Distint Month count | 5 |
| Distint Employee count (Incorrect Result) | 10 |
It might be helpful to tell people what the code actually does or should do. This way not everybody needs to go through it.
thanks your reply
I want to be able to do a monthly distinct count of employee number for any year and so I can calculate the average employee for the year.
To archive this, I created a summarized table and grouped it by month with each row contain the distinct employee for the month after which I summed each row to give me the year total
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Join Fabric Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 24 | |
| 24 | |
| 17 | |
| 14 | |
| 13 |
| User | Count |
|---|---|
| 66 | |
| 41 | |
| 39 | |
| 39 | |
| 38 |