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Hi there,
I have a very common business use case which I handled in M/Power Query but I'm struggling to efficiently process it in Dax.
I have a list of Jira tickets with start and end dates. I want to know for every month how many Jira tickets were opened and what the average ticket age was at this point in time.
For instance, a ticket is opened in March and closed in April, so it should count as open in March with an age on 1 month, April with an age of 2 months and it should not appear any longer in the calculation from May on.
The final output will be a time-series with the months in x-axis and the average ticket lifetime and the number of tickets in y-axis.
Would you have any clue wrt how to process this business case please ?
Thanks in advance,
Nicolas.
Solved! Go to Solution.
For those looking for an answer, this one is just on point : https://stackoverflow.com/questions/77559058/dax-average-of-datediff-with-condition
For those looking for an answer, this one is just on point : https://stackoverflow.com/questions/77559058/dax-average-of-datediff-with-condition
@nicplancho You can refer these videos, these might help you:
Power BI: HR Analytics - Employees as on Date : https://youtu.be/e6Y-l_JtCq4
https://community.powerbi.com/t5/Community-Blog/HR-Analytics-Active-Employee-Hire-and-Termination-tr...
Power BI HR Active Employee Tenure Bucketing, and Hired, Terminated, and Active employees: https://youtu.be/fvgcx8QLqZU
If you find this insightful, please provide a Kudo and accept this as a solution.
Hi @nicplancho
Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).
https://community.powerbi.com/t5/Community-Blog/How-to-provide-sample-data-in-the-Power-BI-Forum/ba-...
Please show the expected outcome based on the sample data you provided.
https://community.powerbi.com/t5/Desktop/How-to-Get-Your-Question-Answered-Quickly/m-p/1447523
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