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!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
Hello everyone!
I have a small problem and I cannot get it done... I'm thinking that I might need to use a RELATED or
LOOKUPVALUE but I cannot get it done.
In brief I have the following tables
Table A - Potential Clients
| LeadID | Lead Days | Level | Activate |
| 64639 | 80 | Low | TRUE |
| 64771 | 60 | Medim | FALSE |
| 64777 | 30 | High | TRUE |
Table B - Notes on Clients
| Note ID | LeadID | Creation Date | Subject |
| 175880 | 64639 | 11/12/2020 | lvm |
| 176154 | 64639 | 14/12/2020 | 2nd call |
| 177521 | 64639 | 04/01/2021 | First Contact |
| 177684 | 64639 | 06/01/2021 | Onboarded |
| 179445 | 64639 | 22/01/2021 | Call- LVM |
| 177993 | 64771 | 08/01/2021 | lvm |
| 178444 | 64771 | 14/01/2021 | Discovery |
| 179146 | 64771 | 20/01/2021 | Attended OB |
| 180543 | 64771 | 01/02/2021 | lvm |
| 178842 | 64777 | 19/01/2021 | Missed appt. email sent to reschedule |
The relation is one (table A) to many (tableB)
Now I need preferably a calculated column in Table A, lets call it a "phase" , which will be doing something the following logic
1. If TableA(Activate)=False -> ok this part is easy:p
AND in TableB(Comments) does NOT equal "Discovery" -> this is what I'm not sure how to do. i.e. check only matching leadID's if there is not a comment called "Discovery"
Then = "Not Ready"
ELSE
2. If TableA(Activate)=False
AND in TableB(Comments) = "Discovery" for same leadID's
Then = "New"
ELSE
3. If TableA(Level)=medium or high
AND in TableB(Comments) is NOT "Discovery" or "Onboarded"
Then = "Jump"
There are various other statements to get my full list, but those are my main issues... how to check all comments in TABLE B before assessing what "phase" they are?
Solved! Go to Solution.
@aabi , Check a new column example
Switch ( True() ,
TableA[Activate] = true() && countx(Filter(relatedtable(TableB), TableB[Comment]<> "Discovery"),TableB[LeadID]) +0 >0 , "Not Ready",
TableA[Activate] = false() && countx(Filter(relatedtable(TableB), TableB[Comment]= "Discovery"),TableB[LeadID]) +0 >0 , "New",
TableA[Level] in {"medium","high"} && countx(Filter(relatedtable(TableB), not(TableB[Comment] in {"Discovery" , "Onboarded"})),TableB[LeadID]) +0 >0 , "New",
)
refer 4 ways to copy data from one table to another
https://www.youtube.com/watch?v=Wu1mWxR23jU
https://www.youtube.com/watch?v=czNHt7UXIe8
@aabi , Check a new column example
Switch ( True() ,
TableA[Activate] = true() && countx(Filter(relatedtable(TableB), TableB[Comment]<> "Discovery"),TableB[LeadID]) +0 >0 , "Not Ready",
TableA[Activate] = false() && countx(Filter(relatedtable(TableB), TableB[Comment]= "Discovery"),TableB[LeadID]) +0 >0 , "New",
TableA[Level] in {"medium","high"} && countx(Filter(relatedtable(TableB), not(TableB[Comment] in {"Discovery" , "Onboarded"})),TableB[LeadID]) +0 >0 , "New",
)
refer 4 ways to copy data from one table to another
https://www.youtube.com/watch?v=Wu1mWxR23jU
https://www.youtube.com/watch?v=czNHt7UXIe8
Hi @amitchandak
Thank you! I really appreciate this!
This is a really smart/interesting way of Power BI/DAX usage!
I have also updated it accordingly to add some more rules and it seems to do what I need!
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 64 | |
| 51 | |
| 46 | |
| 23 | |
| 19 |
| User | Count |
|---|---|
| 139 | |
| 112 | |
| 51 | |
| 33 | |
| 29 |