Calculate consecutive decreases over time?

[Anonymous]

Hi, hopefully someone can help with this? I have a table that looks like the below

Client_ID	Year	Month	Tickets_Created
1044	2019	Jul	92
1044	2019	Aug	65
1044	2019	Sep	33
1044	2019	Oct	12
1044	2019	Nov	10
1044	2019	Dec	2

What I want to do is analyze Client_IDs who have a consecutive Tickets_Created on a month by month basis.  To do this I created a calculated column which compared the current month to the previous month

Client_ID	Year	Month	Tickets_Created	Difference
1044	2019	Jul	92	-2
1044	2019	Aug	65	-27
1044	2019	Sep	33	-32
1044	2019	Oct	12	-20
1044	2019	Nov	10	-2
1044	2019	Dec	2	-8

Now what I want is using the above, get a table that shows the top ten Client_IDs that have the most consecutive months decrease in tickets. So for example, the above Client_ID would have a consecutive decrease of 6 months. If the same Client_ID had an increase this month (compared to November) then they would no longer show on the top 10 table as this would reset the conescutive months they have decreased.

I hope this makes sense? Appreciate any help

[Anonymous]

Hi, @Anonymous 

I have spend some time together with experts using some random sample. We found that you can make the consecutive count, but the tricky part is you have to re-count each time when there is increase in the tickets.

I am afraid that DAX do not support this kind of calculation, maybe try with power query.

This is my consecutive count formula if needed: 

Count concecutive decrease =
IF (
    [Differece] < 0,
    CALCULATE (
        COUNTROWS ( 'Table' ),
        FILTER ( ALLEXCEPT ( 'Table', 'Table'[Client_ID] ), [Differece] < 0 ),
        'Table'[Month] <= EARLIER ( 'Table'[Month] )
    ) + 0,
    BLANK ()
)

Best
Paul