Credit Lending
Experian recently interviewed Philip Bohi, Vice President for Compliance Education of AFSA, to learn more about his perspective on alternative data.
Digital credit offers and regulations. There’s no question today’s consumers have high expectations. As financial services companies wrestle with the laws and consumer demands, here are a few points to consider:
Financial services lenders and businesses are increasingly seeking to leverage enhanced digital marketing channels, but how does regulatory play into the mix?
CFSI’s Thea Garon talks about a free, open-source tool from the organization to help financial institutions drive consumer financial health.
The first full day of Vision 2018 featured in-depth talks on alternative credit data, enhanced credit marketing, faster decisioning, fraud and identity protections and the latest in tech innovation.
In an all-new report, Experian dives into “The State of Alternative Credit Data,” providing in-depth coverage on how alternative credit data is defined, consumer personas, and how this data complements traditional credit data files.
A thoughtful segmentation analysis contains two phases: generation of potential segments, and the evaluation of those segments.
In a new study, Clarity analyzed the trends and financial behavior of subprime loan users. Discover the latest insights and shifts.
Do you have a client who is applying for credit but has placed a security freeze on his Experian file? Here’s how you can help.
Experian introduces new trended attributes to help lenders better serve consumers across the credit life cycle
Trended attributes can provide significant lift in the development of segmentation strategies and custom models are used effectively across the life cycle.
In helping lenders with new product launches, there are common areas of focus and specific steps to move from initial business case to tactical planning.
Many consumers would give the right bank or retailer their data in exchange for personalized marketing offers in their inbox, social feeds and mailbox.
Reject inference design is used to classify the performance outcome of prospective customers within the declined or nonbooked population so this population’s performance reflects its performance had it been booked.
Holiday spend for 2017 was healthy, translating into big business for credit card portfolios. But how do card companies keep the business in 2018?