Data & Analytics

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.

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

Findings from the Q3 State of the Automotive Finance report show that Subprime originations hit the lowest overall share of the market seen in 11 years.

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.

Gavin Harding, Senior Business Consultant, continues in this Q&A with insight that spans across all lenders and their use of alternative data.

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

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.

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

Electric vehicles are here to stay – and will likely gain market share as costs reduce, travel ranges increase and charging infrastructure grows.

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.

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?