Experian has released the latest insights on small business credit conditions with the Q2 2018 Experian/Moody's Analytics Main Street Report. The  report brings deep insight into the overall financial well-being of the small-business landscape,...

Are the credit models you are using to make lending decisions more than 2 or 3 years old? If so, you are likely making less than optimal credit decisions. You may be turning down a customer who is a good risk — while taking on customers who are...

For utility companies, the customer onboarding process can sometimes be complex, time consuming, and an unpleasant experience, especially if a manual credit decisioning process is in play. Every time a customer interacts with your utility...

The appetite for businesses incorporating big data is growing significantly as the data universe continues to expand at an astronomical rate. In fact, according to a recent Accenture study, 79% of enterprise executives agree that companies that...

A gastro pub restaurant applies for business insurance and is approved. However, social media insights show the restaurant is declining. Even though underwriters usually take a quick look at social media postings, evaluating the trends of the...

When you’re launching a new product, business line, or starting up a business, you’ve got to move fast and break things.  This means taking a minimum viable product (MVP) approach, where you’ve got to sacrifice scalability by implementing...

For credit and risk managers, how effectively you manage your book of business can sometimes be the difference between tirelessly chasing after accounts for collections or proactively growing your portfolio. Though there may be many factors that...

When a new customer wants to establish credit terms with you, the first thing they’re asked is to fill out your credit application. When you hand over a paper application, did you know you could be negatively impacting your revenue or setting a...

For lenders, alternative data can be the factor in edging out your competitors, especially when better decisions are needed to compete for emerging businesses and startups.

Data analysis surrounding lending practices for commercial lenders falls into 4 distinct buckets that define scope, usability, and purpose. In this post we will discuss how they differ in terms of value and complexity.