Resources

Banks and fintechs have been grappling with digital transformation for several years now.

When introducing Machine Learning into your organization’s processes, it is imperative to have a thorough implementation strategy, as well as a calculated data management strategy.

GDS Link profiled on BadCredit.org

The cost to acquire new customers will vary based on channel, the products a lender offers and other factors.

The consumer lending landscape has moved inextricably toward online, digital loan processes.

As digital capabilities have evolved, customer expectations have continued to change, creating added pressure to innovate and do so quickly.

Shifting consumer expectations have put banks and credit unions at a crossroads. The natural response has been to invest in digital technologies to keep pace with customer demands.

Community and regional banks and credit unions have been fighting an uphill battle when it comes to small business lending.

Making a move to digital lending is increasingly critical for banks and credit unions trying to keep up with fintech disrupters.

Risk analytics software often ends up as an essential cog in a digital lending program because it allows for the automation necessary to create positive customer experiences.