Recorded January 18, 2017 10:00 – 11:00 AM PST
View our recent webinar with DataX to learn how to grow your customer base by increasing application volumes.
Featuring Aaron Kline, VP Innovation and New Ventures, ID Analytics and Ian Young, Chief Analytics Officer, DataX.
New research from ID:A Labs reveals that over six out of 10 millennials declined for credit are not seen applying again for at least 12 months.
New consortium to enhance responsible lending through leveraging collective data across the industry
LAS VEGAS, MONEY 20/20—ID Analytics today announced the launch of the Online Lending Network, a new consortium formed to enhance responsible lending, help protect consumers and businesses, and address credit and fraud risks.
ID Analytics utilizes its proprietary ID Network – one of the nation’s only real-time, cross-industry compilation of identity information to glean insight into consumer identity behavior. This insight reveals anomalous and potentially fraudulent activity and has proven highly predictive in separating creditworthy consumers from those that are higher risk.
When evaluating a new customer, you need to know whom you’re dealing with at the most crucial moments. Utilizing ID Analytics’ authentication and verification solutions in a customer’s application process will allow you to effectively and efficiently meet compliance requirements while reducing friction and operational costs.
ID Analytics’ credit risk solutions let you make smarter lending decisions by pairing traditional credit data with powerful alternative credit data from wireless, banking and sub-prime markets. A complete and transparent view into consumer behavior will help grow your business without increasing losses.
ID Analytics’ fraud solutions can help your business evaluate applications and account changes effectively and efficiently by delivering an accurate view into fraud risk across multiple industries. Detect potential fraud before it affects your business and automatically approve more legitimate customers so you can focus your manual reviews on the few truly high-risk applications.