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Hi, thanks in advance for any help, we have the following requirements:
I've tried a few different methods to pull this together but all hit a memory issue, any suggestions on the best approach/script?
To identify duplicate clients based on email address:
1. For clients creating a new case in September, using email address how many have a different case same month
2. For clients creating a new case in September, using email address how many have a different case previous month(s)
Fields:
CaseSurrogateKey, Email, InteractionDate, FirstSessionYN
Check if the email address exists previously but with a different case
Example:
Bob flagged as a duplicate client (based on email) with a new case same month
Ted flagged as a duplicate client (based on email) with a new case different month(s) - as has a case in Jul and Aug already
Hi @CrazyHorse66 ,
As a general recommendation, please, provide a sample data as text, use the table tool in the editing bar. This will increase your chances to get an answer.
As for your case, you can try these measures:
firstSession =
VAR currentEmail = SELECTEDVALUE ( T[Email] )
VAR currentCase = SELECTEDVALUE ( T[Case] )
VAR currentDate = SELECTEDVALUE ( T[Date] )
VAR firstSession =
MINX (
FILTER ( ALL ( T ), T[Case] = currentCase && T[Email] = currentEmail ),
T[Date]
)
RETURN
IF ( currentDate = firstSession, "Y", "N" )
flag =
VAR currentEmail = SELECTEDVALUE ( T[Email] )
VAR _t =
ADDCOLUMNS (
CALCULATETABLE ( ALLSELECTED ( T ), T[Email] = currentEmail ),
"@month", CALCULATE ( MONTH ( MAX ( T[Date] ) ) )
)
VAR _t2 = SUMMARIZE ( _t, [@month] )
RETURN
SWITCH (
TRUE (),
[firstSession] = "Y" && COUNTROWS ( _t2 ) = 1, "same month",
[firstSession] = "Y" && COUNTROWS ( _t2 ) > 1, "prev month",
BLANK ()
)
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