March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
Hello
I have two tables namely Contacts and Sales as shown in the example below. I wanted to create a calculated column (Contact after sales date) in Sales table such that only the immediate contact date after the sales date is pulled for each key as shown below. Can anyone suggest the code that could be used achieve this please? Thanks in advance.
Contact Date | Key |
01/01/2022 | 1 |
16/01/2022 | 2 |
08/01/2022 | 3 |
29/01/2022 | 4 |
15/01/2022 | 1 |
02/02/2022 | 4 |
19/01/2022 | 3 |
30/01/2022 | 2 |
Sales Date | Key | Contact after Sales date |
09/01/2022 | 1 | 15/01/2022 |
24/01/2022 | 2 | 30/01/2022 |
07/01/2022 | 3 | 08/01/2022 |
28/01/2022 | 4 | 29/01/2022 |
Solved! Go to Solution.
Hi @uc
Try this code to add a new column with dax:
Contact after Sales date =
CALCULATE (
MIN ( Contacts[Contact Date] ),
Contacts[Contact Date] > EARLIER ( Sales[Sales Date] )
)
Output:
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Hi @uc
Try this code to add a new column with dax:
Contact after Sales date =
CALCULATE (
MIN ( Contacts[Contact Date] ),
Contacts[Contact Date] > EARLIER ( Sales[Sales Date] )
)
Output:
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Thankyou so much 🙂
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.
User | Count |
---|---|
134 | |
91 | |
90 | |
64 | |
58 |
User | Count |
---|---|
201 | |
137 | |
107 | |
70 | |
68 |