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I'm trying to get a percentage of new customers (since 2018) in the state of Maryland who subsequently had engine service done at one of our service centers within a year. We also send out to a more advanced engine repair shop, and I don't want those customers counted as having engine service done.
I have a "new customer" service type for their first appt. and a service type of "Engine Repair In-house" for the repair.
So i basically want
measure 1
Total New Customers since 2018 in Maryland = CALCULATE(distinctcount('DIM_Customers'[Customer_Nbr]), filter('DIM_Location', 'DIM_Location'[Location_State_Cd]="MD"),'DIM_Service', 'DIM_Service'[Service_Type]="New Customer")
Measure 2
Count of the customers in Measure one who had engine repair done at one of our service centers within a year of their first visit:
????
Final calc= measure 2/Measure 1
Any help with measure 2 would be huge.
Thanks,
Jim
Solved! Go to Solution.
Hi @Huskyjimbo ,
Please refer to my .pbix file.
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
We need to have date New Customer and then we will use 12 month from there. You can calculate that as column too
CALCULATE(
distinctcount('DIM_Customers'[Customer_Nbr]), filter('DIM_Location', 'DIM_Location'[Location_State_Cd]="MD"),filter('DIM_Service', 'DIM_Service'[Service_Type]="Engine Repair In-house"),DATESINPERIOD('Date'[Date ],MIN(DIM_Service[DIM_Service Date]),12,MONTH))
Can you share sample data and sample output in a table format? Or a sample pbix after removing sensitive data.
refer how min date is calculated as column
https://youtu.be/Q1vPWmfI25o?t=751
Hi @Huskyjimbo ,
Please refer to this.
If this is not what you want, please give the return value of [Measure2].
Within a year =
VAR __min_date =
MINX(
FILTER( ALL(Fact_Service), Fact_Service[Customer_key] = MAX(Fact_Service[Customer_key]) ),
[Service_Date]
)
VAR __max_date =
MAXX(
FILTER( ALL(Fact_Service), Fact_Service[Customer_key] = MAX(Fact_Service[Customer_key]) ),
[Service_Date]
)
RETURN
DATEDIFF( __min_date, __max_date, DAY )
Measure =
CALCULATE(
DISTINCTCOUNT(Fact_Service[Customer_key]),
FILTER(
Fact_Service,
[Within a year] <= 365 && Fact_Service[Service_Type_Key] = 7
)
)
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Here is what i am trying to achieve, 33%. So i need a temporary list of new customers since 2018 in Maryland. Then using this temp list and the criteria, "in house engine repair within a year", i would get a count of how many achieved that criteria which is 1 of the 3 new customers since 2018 in Maryland.
Hi @Huskyjimbo ,
Please refer to my .pbix file.
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@Huskyjimbo This looks like a measure aggregation problem. See my blog article about that here: https://community.powerbi.com/t5/Community-Blog/Design-Pattern-Groups-and-Super-Groups/ba-p/138149
The pattern is:
MinScoreMeasure = MINX ( SUMMARIZE ( Table, Table[Group] , "Measure",[YourMeasure] ), [Measure])
MaxScoreMeasure = MAXX ( SUMMARIZE ( Table, Table[Group] , "Measure",[YourMeasure] ), [Measure])
AvgScoreMeasure = AVERAGEX ( SUMMARIZE ( Table, Table[Group] , "Measure",[YourMeasure] ), [Measure])
etc.
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882
Also, please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.
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