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aabi
Helper I
Helper I

How to check various values in another table and assess them before bringing them in

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

 

LeadIDLead DaysLevelActivate
6463980LowTRUE
6477160MedimFALSE
6477730HighTRUE

 

Table B - Notes on Clients

 

Note IDLeadIDCreation DateSubject
1758806463911/12/2020lvm
1761546463914/12/20202nd call
1775216463904/01/2021First Contact
1776846463906/01/2021Onboarded
1794456463922/01/2021Call- LVM
1779936477108/01/2021lvm
1784446477114/01/2021Discovery
1791466477120/01/2021Attended OB
1805436477101/02/2021lvm
1788426477719/01/2021Missed 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?

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@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

 

 

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View solution in original post

2 REPLIES 2
amitchandak
Super User
Super User

@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

 

 

Join us as experts from around the world come together to shape the future of data and AI!
At the Microsoft Analytics Community Conference, global leaders and influential voices are stepping up to share their knowledge and help you master the latest in Microsoft Fabric, Copilot, and Purview.
️ November 12th-14th, 2024
 Online Event
Register Here

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!

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