Financial Services

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.

An analytics environment can have enterprise-wide impact. Instant access to customer data, actionable analytics and intelligence tools drive the most value.

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.

At Experian, for machine learning, we use Extreme Gradient Boosting (XGBoost) implementation of Gradient Boosting Machines.

Dynamic pricing models for consumer financial products can be especially difficult for at least four reasons.

You 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.

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