Telecom, Energy & Utilities

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

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

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

While the marketplace struggles to manage the impact of fraud prevention, CIP routinely disrupts more than 10 percent of new customer acquisitions.

Experian recently interviewed Philip Bohi, Vice President for Compliance Education of AFSA, to learn more about his perspective on alternative data.

A summary of common resampling techniques that can be used to create a robust model development and validation sample.

Model validation is essential in evaluating and verifying a model’s performance during development before finalizing design and implementation.

CFSI’s Thea Garon talks about a free, open-source tool from the organization to help financial institutions drive consumer financial health.

In an all-new report, Experian dives into “The State of Alternative Credit Data,” providing in-depth coverage on how alternative credit data is defined, consumer personas, and how this data complements traditional credit data files.

A thoughtful segmentation analysis contains two phases: generation of potential segments, and the evaluation of those segments.

Implement identity management and account management procedures that are effective and don't affect user experience

Do you have a client who is applying for credit but has placed a security freeze on his Experian file? Here’s how you can help.

Kathleen Peters, SVP of Product Management for Global Fraud and Identity, and recently included in the Top 100 influencers in Identity.

Experian introduces new trended attributes to help lenders better serve consumers across the credit life cycle

Consumer disputes aren’t going away, but understanding the reported data and metrics behind disputes can help data furnishers minimize them and improve processes.