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First-party fraud is an identity-centric risk that changes over time. And the fact that no one knows the true size of first-party fraud is...
Identity-related fraud exposure and losses are increasing, and the underlying schemes are becoming more complex. To make better decisions on the need for step-up...
Consumer confidence is nearing an 18-year high. Unemployment figures are at record lows. Retail spend is healthy, and expected to stay that way through...
Consumer credit scores A recent survey* released by the Consumer Federation of America and VantageScore Solutions, LLC, shows that potential borrowers are more likely...
Keeping your customers happy is critical to success. And while reducing fraud is imperative, it shouldn’t detract from a positive customer experience. Here are...
Believe it or not, 66% of consumers want to see some visible signs of security and barriers when accessing their accounts so they can...
Business guide to new markets Competition is fierce. Expectations are high. Navigating a new market can be profitable — if managed strategically. Consider these...
Customer Identification Program (CIP) solution through CrossCore® Every day, I work closely with clients to reduce the negative side effects of fraud prevention. I...
Trivia question: Millennials don’t purchase new vehicles. True or F...
When it comes to driving the automotive industry forward, Experian Automotive has a motto: “The right cars. The right customers. The right data to...
As more financial institutions express interest and leverage alternative credit data sources to decision and assess consumers, lenders want to be assured of how...
In our previous post, we talked about Experian’s 2018 Attribution Study. This study is a wide-ranging, dealer-focused sales-driven attribution study to answer the question...
When developing a risk model, validation is an essential step in evaluating and verifying a model’s predictive performance. There are two types of data...
As I mentioned in my previous blog, model validation is an essential step in evaluating a recently developed predictive model’s performance before finalizing and...