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TimeStamped Data - DateDiff for each unique Customer

Hi! I'd like to calculate the time it took for a person to advance from one stage to the next, and filter only those who are advancing.

INPUT

I have a folder of 30+ excel files, each excel file has a huge list of unique customers who are in a certain subscription tier.

CURRENT (MESSY & SLOW) METHODOLOGY

I combine and load the data into an excel file using PowerQuery, sort by Customer Name, do the calculations there [ (C3-C2) * (A2=A3) * (IF(B2<B3),1,0) ] which returns the date diff only if the stage has advanced & comparing the same stage.

OUTPUT

I'll make charts based on DateDiff and Revenue and other customer info to look for correlations.

Is there a way to use DAX to do this with a GROUPBY? Input example below. Thanks in advance! 1 ACCEPTED SOLUTION  Community Support

You may use the following DAX to add a calculated table.

Table 2 =
VAR t =
SUMMARIZE (
'Table',
'Table'[Player],
'Table'[Stage],
"min Date", MIN ( 'Table'[Date] )
)
RETURN
FILTER (
t,
RANKX (
FILTER ( t, 'Table'[Player] = EARLIER ( 'Table'[Player] ) ),
'Table'[Stage],
,
ASC
) > 1
)

Community Support Team _ Sam Zha
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.  Community Support

You may use the following DAX to add a calculated table.

Table 2 =
VAR t =
SUMMARIZE (
'Table',
'Table'[Player],
'Table'[Stage],
"min Date", MIN ( 'Table'[Date] )
)
RETURN
FILTER (
t,
RANKX (
FILTER ( t, 'Table'[Player] = EARLIER ( 'Table'[Player] ) ),
'Table'[Stage],
,
ASC
) > 1
)

Community Support Team _ Sam Zha
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.   