Customer Targeting & Segmentation
New year, new personal loans. As Americans kick off the year seeking debt consolidation, consumer insights shed light for your future marketing efforts.
An analytics environment can have enterprise-wide impact. Instant access to customer data, actionable analytics and intelligence tools drive the most value.
Issues to evaluate during data sample selection and design for model development and an overview of traditional data sampling techniques.
There's a lot of talk about alternative credit data today, but not all of it is factual. Dispel the myths and learn what the truth about alternative data.
There are four reasons why the auto industry should be enthusiastic about the electric vehicle segment’s future.
Gavin Harding, Senior Business Consultant, continues in this Q&A with insight that spans across all lenders and their use of alternative data.
Where are electric vehicles most popular? During the first half of the year, 3.6 percent of all new registrations in California were EVs.
It’s not enough to just dig into the sales number of electric vehicles — It’s important to understand the consumers most interested.
Any analytical environment is only as good as the data you put into it. Check these four key features when choosing the right one for your organization.
Dynamic pricing models for consumer financial products can be especially difficult for at least four reasons.
Getting Beyond the Binary to Solve the Business Problem of Big Data
Customer Targeting & SegmentationYou want to use big data, but how do you make your analytics truly actionable to stay ahead of the competition? Using an analytical sandbox is the answer.
There are a lot of people talking about big data who are not fully leveraging the value of their data. How do you use data to innovate and stay competitive?
9 Ways to Make Hispanic Engagement Part of Your Credit Union’s Differentiation Strategy
Customer Targeting & SegmentationWith Hispanic Heritage Awareness Month underway and the topic of growing membership a constant priority, here are some tips from a credit union CEO.
Machine learning's ability to consume vast amounts of data to uncover patterns and deliver results makes it well suited for the credit risk industry
Even with the Fed’s gradual 2018 rate hikes, consumers are shopping. Usage of credit cards is on the rise in 2018 and only expected to grow.