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 nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
I have a column that I made groups for to shrink the list and easier identify the categories:
Everything that starts with NAC or Email is just grouped together under Email in the table on the right. Same thing with Premier Email. At any given time, a new hire can take place and a new person may be added with the NAC or Premier prefix you see in the left table. Whenever this happens, is there way to have the new person added to the group I've created or do they always have to be added manually afterwards? I refreshed my dataset yesterday and a new NAC person was added, so on the table on the right they had their own category. I had to edit my groups to add that person to the correct group and I'm not sure if there is a way to have them automatically grouped there. Otherwise I'd always have to go in and check and update this as needed. Thanks!
Whats the requirement say all the Origin Starts with NAC Or Email goes to Group Email.
If this is what you want simpally create a conditional statement with If / Switch so that even if you new origin is added and it starts with NAC or Email, is hould satisfy the condition and get into Group Email.
Some thing like below
if(find("NAC",Origin,1,0)=TRUE(),"EMAIL",<Anothet If condition>)
Actually valid use of Find and If should resolve your purpose.
Let me know if it works.
Thansk
Swapnil
@Anonymous,
Is "Origin (groups)" a column in the data, or a group you created manually using "Create New Group?"
If it's the latter, why not create conditional rules in Power Query to assign them to the proper Origin Group as them come in?
@RMDNA Would that be done from the query editor? I'm not 100% sure about how to go about doing that. And yes, it's a group that I created manually from another column.
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 23 | |
| 21 | |
| 20 | |
| 17 | |
| 13 |
| User | Count |
|---|---|
| 58 | |
| 51 | |
| 37 | |
| 30 | |
| 26 |