Financial Services

In the head to head match up between alternative credit data and trended data, who will win? Both offer value above and beyond traditional credit data.

Experian Boost gives consumers greater control over their credit profiles by allowing them to add non-traditional credit information to their Experian credit file.

Alternative financial services data gives lenders access to powerful and predictive supplemental credit data that better detect risk and benefits consumers.

Lenders and financial institutions can help their customers get on the right financial foot for 2019 by helping them maximize their tax refund.

Given the option between offshore and onshore data science resources, how do you decide? Let’s discuss a few things to consider.

Credit access for the masses, machine learning and fraud are among the top 5 trending topics for the financial services industry in 2019.

New year, new personal loans. As Americans kick off the year seeking debt consolidation, consumer insights shed light for your future marketing efforts.

Experian is ushering a new age of consumer empowerment with Experian Boost, which eliminates the guesswork of what goes into a credit score.

It’s the holiday season, and we’re prepared for holiday fraud. Our team monitors FraudNet to identify anomalies as millions of transactions occur this month

Issues to evaluate during data sample selection and design for model development and an overview of traditional data sampling techniques.

Criminals constantly search and exploit weaknesses. In this digital age, protecting people fuels our commitment to identity protection and fraud prevention.

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.

Children are attractive victims since fraud that uses their personal identifying information can go for years before being detected.

In banking, as in baseball, data and analytics are key to making informed, data-driven decisions for your team and your business.

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.