BMGT 402 Lecture Notes - Lecture 26: Credit Card Fraud, Affinity Analysis, Fraud
3 Apr 2017
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Bmgt402 lecture 26 chapter 34: data mining. Detecting patterns of fraudulent credit car use. Predicting customers likely to change their credit card affiliation: insurance. Predicting which customers will buy new policies: medicine. Identifying successful medical therapies for different illnesses: successful for. Credit card companies mine their transaction databases for data for spending patterns that indicate a stolen card. Uk"s largest friendly society, liverpool victoria increases the response rate of customers through the customer profiling segmentation and modeling process. Williams-sonoma has created a new marketing system that models and explores customer data from more than 30 million households, helping the retailer create a personalized and cohesive shopping experience across multiple channels and multiple brands. A number of convenience store clerks, the story goes, noticed that men often bought beer at the same time they bought diapers. The store mined its receipts and proved the clerk"s observation correct. So, the store began stocking diapers next to the beer coolers and sales skyrocketed.
