Increasing pressure for growth. Declining tolerance for financial losses. Mounting regulatory scrutiny. These conflicting demands placed on credit risk management seem to present an insurmountable challenge. How do you extend more competitive offers to a wider range of applicants – prime-to-subprime and thick-file to no-file - without increasing risk exposure or adopting bleeding-edge innovations?
The secret is obtaining a more comprehensive view into applicant creditworthiness. Enterprises can make smarter lending decisions across the credit spectrum by pairing traditional credit data with powerful, proven alternative insights – delivering an improved understanding of credit risk that can help you see opportunity where others simply see risk.
LexisNexis Risk Solutions approaches credit risk assessment through straight-forward fundamentals - we leverage best-in-class linking technology to bring thousands of FCRA data sources together into a single picture of a consumer or business, then assess that picture with powerful analytics guided by vast industry expertise. Designed with a compliance-first mindset, the resulting solutions have helped leading U.S. lenders gain competitive advantages through increased insight for nearly two decades.
In 2020, we meaningfully advanced our capabilities with the acquisition of ID Analytics®, a leader in alternative credit scoring with patented analytics, proven expertise, and near real-time insight into consumer behavior. With our data sources and analytical expertise combined, LexisNexis Risk Solutions has never been better positioned to help you know more and lend better.
Whether your focus is on consumer or small business lending, choose the alternative credit risk solutions that can help you score more credit invisible applicants, improve lending decisions on the margin, and responsibly issue the improved offers to prime consumers needed to win their business. Unleash the power of alternative credit data with LexisNexis Risk Solutions.
*Based on an internal review of LexisNexis data
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