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Need to get sum of quantity for previous 12 months by Customer. For instance: For Customer 1 July 2016 total should be from August 2015 - July 2016. This should be grouped by customer. If 12 months prior data does not exist, it can be 0 or blank. Is it possible to calculate a column or measure? Thanks!
| Customer | Date | Quantity | Expected Result |
| 1 | 1/1/2015 | 1 | 0 |
| 1 | 2/1/2015 | 2 | 0 |
| 1 | 3/1/2015 | 4 | 0 |
| 1 | 4/1/2015 | 2 | 0 |
| 1 | 5/1/2015 | 1 | 0 |
| 1 | 6/1/2015 | 2 | 0 |
| 1 | 7/1/2015 | 1 | 0 |
| 1 | 8/1/2015 | 3 | 0 |
| 1 | 9/1/2015 | 4 | 0 |
| 1 | 10/1/2015 | 1 | 0 |
| 1 | 11/1/2015 | 1 | 0 |
| 1 | 12/1/2015 | 1 | 23 |
| 1 | 1/1/2016 | 1 | 23 |
| 1 | 2/1/2016 | 1 | 22 |
| 1 | 3/1/2016 | 1 | 19 |
| 1 | 4/1/2016 | 2 | 19 |
| 1 | 5/1/2016 | 4 | 22 |
| 1 | 6/1/2016 | 2 | 22 |
| 1 | 7/1/2016 | 1 | 22 |
| 2 | 1/1/2015 | 2 | 0 |
| 2 | 2/1/2015 | 1 | 0 |
| 2 | 3/1/2015 | 3 | 0 |
| 2 | 4/1/2015 | 4 | 0 |
| 2 | 5/1/2015 | 1 | 0 |
| 2 | 6/1/2015 | 1 | 0 |
| 2 | 7/1/2015 | 1 | 0 |
| 2 | 8/1/2015 | 1 | 0 |
| 2 | 9/1/2015 | 1 | 0 |
| 2 | 10/1/2015 | 1 | 0 |
| 2 | 11/1/2015 | 1 | 0 |
| 2 | 12/1/2015 | 1 | 18 |
| 2 | 1/1/2016 | 1 | 17 |
| 2 | 2/1/2016 | 1 | 17 |
| 2 | 3/1/2016 | 1 | 15 |
| 2 | 4/1/2016 | 1 | 12 |
| 2 | 5/1/2016 | 1 | 12 |
| 2 | 6/1/2016 | 1 | 12 |
| 2 | 7/1/2016 | 1 | 12 |
| 2 | 8/1/2016 | 1 | 12 |
This is a common requirement that you would expect to be easily solved with a single function or formula. But unfortunately DAX is saddled with several shockingly poor design decisions in this area, that have still not been corrected many years later.
For a glimpse of the full horror, try this article:
http://www.sqlbi.com/articles/rolling-12-months-average-in-dax/
Note it breezily assumes you start with a tidy Calendar table which in your case will need to extend 12 months prior to your earliest date.
Personally I would go back to the Edit Queries layer and resolve it there - the tool behaves more rationally and predictably there.
I tried all of that, din't work. The closest I came to the solution was using code below from one of the forum discussions: It gives me
Cumulative2 = VAR RowDate = Sheet1[Date]
VAR RowCust = Sheet1[Customer]
RETURN
CALCULATE (
SUM ( Sheet1[Quantity] ),
FILTER (
Sheet1,
MONTH(RowDate) - Month(Sheet1[Date])<=12
&& YEAR ( RowDate) - YEAR ( Sheet1[Date] )<=1 && Sheet1[Customer] = RowCust
), VALUES(Sheet1[Customer])
)
Your results look really odd, and nothing like the expected results you originally posted. For example your first row shows 35, where you expected 0.
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