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Do you really know where your commercial and small business clients stand financially? I bet if you ask your commercial lending relationship managers they will say they do – but do they really? The bigger question is how you could be more tied into to your business clients so that you could give them real advice that may save their businesses. More questions?? Nope, just one answer. Finagraph with Experian’s Advisor for relationship lending is a perfect setup to gather data that you currently are using within your financial institution that can then be matched that up with real financial spreads from the accounting systems that your business client use in their everyday process. By comparing the two sources of records you can get a true perspective on where your business clients stands and empower your relationship managers like ever before.

In today’s world, it seem as though there is a statistic that we can apply to just about anything. Whether it’s viewership of the Super Bowl, popularity of breakfast cereal or the number of red M&Ms that come in a pack, I bet the data is out there. In fact, there is so much data in the world that Emery Simon of the Business Software Alliance once said that if data were placed on DVDs, it would create a stack tall enough to reach the moon. But let’s take a step back. If you break it down to its bare bones, all data is, is a bunch of numbers. Until you can understand what those numbers mean, data by itself isn’t that helpful. Delivering data insights in order for our clients to make better decisions is at the core of everything we do at Experian. We are continuously looking for ways to use our data for good. This is especially critical for the automotive industry, including dealerships, manufacturers, lenders and consumers alike. For example, with data and insights, manufacturers and dealerships can better understand what vehicles consumers are purchasing, as well as where certain vehicle segments are most popular. This information can help them decide which vehicles models are performing or where to move inventory. For automotive lenders, gaining insight into the shifts in consumer payment behavior, enables them to take the appropriate action when making decisions on loan terms and interest rates. By leveraging this information, lenders are able to minimize their own risk and improve profitability. On the consumer side, a vehicle is often the second largest purchase they will make. It’s important, especially when purchasing a used vehicle, to get as much information as possible to make the best decision. Vehicle history reports contain hundreds of data points from a variety of sources that provide insight into whether a vehicle has been in an accident, has frame damage, and odometer fraud, among other things. Consumers are able to take these insights to assist in the car buying process to ensure the vehicle is safe and meets their own standards. Leveraging the information available to make better decisions across the board will help the industry and consumers cruise down the highway of success. And that’s how we roll …

Apple Pay fraud solution Apple Pay is here and so are increased fraud exposures, confirmed losses, and customer experience challenges among card issuers. The exposure associated with the provisioning of credit and debit cards to the Apple Pay application was in time expected as fraudsters are the first group to find weaknesses. Evidence from issuers and analyst reports points to fraud as the result of established credit/debit cards compromised through data breaches or other means that are being enrolled into Apple Pay accounts – and being used to make large value purchases at large merchants. Keir Breitenfeld, our vice president of Fraud and Identity solutions said as much in a recent PYMNTS.com story where he was quoted about whether the Apple Watch will help grown Apple Pay. The challenge is that card issuers have no real controls over the provisioning or enrollment process so they currently only have an opportunity to authenticate their cardholder, but not the provisioning device. Fraud exposure can lie within call centers and online existing customer treatment channels due to: Identity theft and account takeover based on breach activity. Use of counterfeit or breached card data. Call center authentication process inadequacies. Capacity and customer experience pressures driving human error or subjectively lax due diligence. Existing customer/account authentication practices not tuned to this emerging scheme and level of risk. The good news is that positive improvements have been proven with bolstering risk-based authentication at the card provisioning process points by comparing the inbound provisioning device to the device that is on file for the cardholder account. This, in combination with traditional identity risk analytics, verifications, knowledge-based authentication, and holistic decisioning policies vastly improve the view afforded to card issuers for layered process point decisioning. Learn more on why emerging channels, like mobile payments, call for advanced fraud identification techniques.


