Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi All,
I am wondering whats the best way to work out the following please....
We run a helpdesk in which we have all the ticket data (Ticket Type, Date, Assignee, Organisation etc etc)
We also have clients onboarding all the time (We match using the Organisation and Date of Go Live)
We want to display the number and types of tickets submitted by "Onboarding Clients" within their first 3 Months.
The key driver is to focus our onboarding plan and training around these types of tickets to "Prevent" them moving forward.
If anyone has any idea how we can achieve this, please let me know!
Kudos and pictures of your work in motion will follow
Thanks Guys!
Solved! Go to Solution.
@NathanMoorhouse add new column in your ticket table
Month Since Go Live Date = DATEDIFF( RELATED( Client[Go Live Date] ), Data[Created at], MONTH )
And now you can add a filter where this new column is less than equal to 3
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
@NathanMoorhouse if you can share sample data in excel using onedrive/google drive and expected output, it will help.
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
Hi All,
Please find attached first the "Ticket Update Data"
This has been edited to include 3 clients (Client 1, 2 and 3)
https://docs.google.com/spreadsheets/d/1PHzUSCXsVLr2UlcVAzkin61NSiUl4pB5hoGAlh1DFDs/edit?usp=sharing
Please find attached the Client Go Live Dates (Again referencing Client 1,2 and 3)
https://docs.google.com/spreadsheets/d/1KL1XQvStKoJUJEhZOnrBpzpfZrP8sN2OwfAJZ50m_PU/edit?usp=sharing
Desired output breakdown
We want to return all tickets by ID, created by the client in the first 3 Months after their "Go Live date"
Thanks all!
@NathanMoorhouse add new column in your ticket table
Month Since Go Live Date = DATEDIFF( RELATED( Client[Go Live Date] ), Data[Created at], MONTH )
And now you can add a filter where this new column is less than equal to 3
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
Thanks Parry
Works a treat
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
96 | |
95 | |
82 | |
71 | |
64 |
User | Count |
---|---|
116 | |
106 | |
94 | |
79 | |
72 |