Data and Analytics

Getting ahead of the economic downturn by performing stress tests and forecasts.

Alternative data such as social media data can be used to lift the business credit scores of thin-file businesses. We explain how.

To make the most accurate business credit decisions possible, many companies are turning to data-driven decisioning models powered by artificial intelligence (AI) within machine learning engines.

For utility companies, the customer onboarding process can sometimes be complex, especially if a manual credit decisioning process is in play. We explore ways to improve that process with DaaS.

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 do not embrace big data will lose their competitive position and could face extinction.

Integrating credit decisions means moving toward an automated solution that integrates credit decisions with ERP, CRM, or other custom system, employing APIs.

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.

Experian has announced it has become a certified vendor of the Small Business Financial Exchange, Inc. (SBFE.) As a SBFE Certified Vendor, Experian can combine its rich data with SBFE’s data to provide the most comprehensive view of a small business in the market today

Carl Stronach talks about the Experian API developer hub and how we are helping clients solve problems through accessible data.