Financial Services
Financial firms are turning to customer acquisition engines to help them build, test and optimize custom targeting strategies faster than ever before.
Synthetic ID fraud is the fastest-growing type of financial crime in the US. The best offense means detecting synthetic identities before they're in place.
Combatting fraud trends in loyalty and rewards programs requires device intelligence, digital identity verification email risk scoring and more.
Customers expect seamless and excellent customer experiences – that’s where the power of advanced analytics comes into play.
Since the end of the recession, customer loyalty has been a focus for lenders, given that there are more options for AFS borrowers. Read more!
Time is the only resource we can’t get more of, which is why we obsess over saving it. Over the last several years, a new time saver has emerged – APIs.
As we prepare for the excitement and challenges of a new decade, the same can be true for how we approach the use of alternative data. Read more!
Artificial intelligence (AI) has long been a topic that’s confounding and downright worrisome to financial institutions. Read more!
To provide consumers with protections against debt collectors, the CFPB issued a NPRM to implement the FDCPA earlier this year.
Experian is excited to be chosen as one of the first data and analytics companies to enable access to SSA data for verifying identity against the Federal Agency’s records.
The DMV is embracing technology to improve overall customer experience, and financial institutions can benefit from doing the same.
Experian has been named one of the 10 participants, and only credit bureau, in the initial rollout of the SSA's new eCBSV service.
The CFPB recently issued a NPRM to implement the FDCPA. If you aren’t ready for the new CFPB regulation, what are you waiting for? Read more!
Big data is now in reach for financial institutions for all sizes amid the expansion of Experian's platform to drive faster, better decisions.
Collections strategies demand diverse approaches, which is where collections analytics and collections models come into play. Read more!