Moving 6 month average, large data set

[Anonymous]

Hi folks,

I'm working with the output of our firm's ticketing system and trying to find an average monthly throughput (tickets closed) for each department using the previous 6 months.

How can I set this up to calculate correctly? The relevant fields are:

• STATE (i.e., "CLOSED")
• DATE_CLOSED
• FUNCTION (i.e., seven separate processing departments)

Output should be a bar graph with one bar for each department, showing each department's 6-month average of tickets closed per month.

[amitchandak · Accepted solution]

You need to use the following. For 6 month date range

https://docs.microsoft.com/en-us/dax/datesinperiod-function-dax

Create function department wise

https://powerpivotpro.com/2013/03/hasonevalue-vs-isfiltered-vs-hasonefilter/

Formula like these.

Rolling 6 = CALCULATE(sum(Sales[Sales Amount]),DATESINPERIOD('Date'[Date],ENDOFMONTH(Sales[Sales Date]),-6,Month))
Rolling 6 = CALCULATE(sum(Sales[Sales Amount]),DATESINPERIOD('Date'[Date],max(Sales[Sales Date]),-6,Month)) 

Can you share sample data and sample output. If possible please share a sample pbix file after removing sensitive information.Thanks.
To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s.

Refer
https://radacad.com/creating-calendar-table-in-power-bi-using-dax-functions
https://www.archerpoint.com/blog/Posts/creating-date-table-power-bi

https://www.sqlbi.com/articles/creating-a-simple-date-table-in-dax/

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Thanks. My Recent Blogs -Decoding Direct Query - Time Intelligence, Winner Coloring on MAP, HR Analytics, Power BI Working with Non-Standard TimeAnd Comparing Data Across Date Ranges
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