Can we do a CONTAINSROW() DAX function tutorial while implementing a coupon redemption fraud detection calculation? Yes! Can we add to this a discussion about how to calculate distinct counts on temp tables? You betcha! In fact, we can do it all in one video. The dataset is simple, we will take a look at coupons and their redemption dates by retailer. If we see the same coupon redeemed more than once, then that’s fraud and our sales and marketing teams would definitely want to know the impact of that on our revenue.
You can download the file used in this tutorial here.
I have data model for a bank, the model has customer information and the products the customer has. what we consider a preferred customer is a customer who has a “Basic Saving Account”, so when need the count for “referred customer”, we a measure:
Preferred Customer = CALCULATE (
DISTINCTCOUNT(‘Customers'[Customer ID]),
‘Customers'[Account Type]=”Basic Saving Account’
)
now, we need to count the “preferred customer”s who have “Checking Accounts” and “CD’s” etc.
how can I do it?