Mobile onboarding should be fast and easy . But too often it's slow, complicated, and error-prone.
At this year’s Money 2020 Conference, we talked to a lot of companies who are coming to the same realization: in an increasingly mobile-centric world, they need to implement and optimize mobile onboarding. Their future growth depends on it.
In financial services, retail, and healthcare, mobile onboarding has become a business necessity. But too often it suffers from the faults described in this infographic.
We’re back from the Lend360 Conference, a conference dedicated to exploring every angle of the online lending market.
On September 7, 2017, Equifax announced that it had suffered a data breach lasting from mid-May through the end of July. As a result of that breach, personally identifiable information (PII)—including names, addresses, birth dates, and Social Security numbers—for 143 million consumers was exposed. Credit card information for about 200,000 consumers may also have been exposed, along with account history information that often provides the basis for Knowledge-based Answers (KBA) authentication.
Many non-bank lenders base their lending decisions on predictions about which applicants are likely to incur a First Payment Default (FPD)—that is, which applicants are likely to be late making their first payment on a loan. Lenders assume that by predicting FPD they will be able to predict which applicants are likely to default on the loans entirely, resulting in losses for the lender.
AI-powered insights for fast, fair, and frictionless access to more good customers.