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I have 4 tables as below.
The Current and Previous tables are used to store different time period selections from two slicers, used for comparison.
For sake of simplicity, lets say :-
'Sales' table contain a record for each unique OrderID, Total Revenue, UserID, Product.
'Customer' table contain a record for each unique UserID, Age, Location.
In the 'Sales' table, I was able to create 2 measures for 'Sales_Current_Period' and 'Sales_Previous Period'.
My issue now is :-
Solved! Go to Solution.
Hi @rinaibrhm ,
According to your description, here are my steps you can follow as a solution.
(1) This is my test data.
(2) We can create calculated columns.
Orders_Previous_Period = COUNTROWS(FILTER('Sales','Sales'[Order_Date] in VALUES('Previous'[Date]) && 'Sales'[UserID]=EARLIER('Customer'[UserID])))
Orders_Current_Period = COUNTROWS(FILTER('Sales','Sales'[Order_Date] in VALUES('Current'[Date]) && 'Sales'[UserID]=EARLIER('Customer'[UserID])))
Top_Product =
var _a=SUMMARIZE('Sales','Sales'[UserID],'Sales'[Product],"count",COUNT('Sales'[Product]))
var _b=MAXX(FILTER(_a,[UserID] = EARLIER('Customer'[UserID])),[count])
var _c=FILTER(_a,[count]=_b && [UserID]=EARLIER('Customer'[UserID]))
return CONCATENATEX(_c,[Product],"&")
(3) Then the result is as follows.
If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @rinaibrhm ,
According to your description, here are my steps you can follow as a solution.
(1) This is my test data.
(2) We can create calculated columns.
Orders_Previous_Period = COUNTROWS(FILTER('Sales','Sales'[Order_Date] in VALUES('Previous'[Date]) && 'Sales'[UserID]=EARLIER('Customer'[UserID])))
Orders_Current_Period = COUNTROWS(FILTER('Sales','Sales'[Order_Date] in VALUES('Current'[Date]) && 'Sales'[UserID]=EARLIER('Customer'[UserID])))
Top_Product =
var _a=SUMMARIZE('Sales','Sales'[UserID],'Sales'[Product],"count",COUNT('Sales'[Product]))
var _b=MAXX(FILTER(_a,[UserID] = EARLIER('Customer'[UserID])),[count])
var _c=FILTER(_a,[count]=_b && [UserID]=EARLIER('Customer'[UserID]))
return CONCATENATEX(_c,[Product],"&")
(3) Then the result is as follows.
If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @amitchandak I am currently not using the built-in time intelligence and my current solution is using the 'Current' and 'Previous' tables to serve this purpose.
In my Sales table, I already am able to get the time intelligence calculations as below :-
Sales_Previous_Period = CALCULATE ( SUM([Total Revenue]), ALL ( 'Current' ), USERELATIONSHIP ( 'Current'[Date], 'Previous'[Date] ) ) * [Normalization Factor]
Sales_Current_Period = SUM([Total Revenue])
My issue now is to reference the Current and Previous Date selections in my 'Customer' table, since the only relationship it has is on Sales[User ID].
@rinaibrhm , Please use Time intelligence function for that
Time Intelligence, Part of learn Power BI https://youtu.be/cN8AO3_vmlY?t=27510
Time Intelligence, DATESMTD, DATESQTD, DATESYTD, Week On Week, Week Till Date, Custom Period on Period,
Custom Period till date: https://youtu.be/aU2aKbnHuWs&t=145s
Power BI Custom Period Till Date (PTD)- https://youtu.be/rQ3Z_LtxwQM
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