Online credit card fraud is 10 times higher than offline. Transaction and processing fees for online merchants are more than 66 percent higher than offline. The statistics are daunting. Turn to SPSS for powerful data mining that predicts the likelihood fraudulent transactions will occur.
Predictive models build purchasing situation profiles that indicate possible credit card fraud.
Data mining models track clickstream data to analyze behavior that produces transactions and details entered at the time of purchase, such as purchase amounts, shipping addresses and items purchased. And since these data mining models detect behavior in real time, you can immediately spot suspicious transactions and take action. SPSS Inc. All rights reserved.