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Fighting Fraud in a Fintech World

How can fintech companies ensure they’re one step ahead of fraudsters? Kathleen Peters discusses how fintechs can prepare for success in fraud prevention.

Published: February 8, 2019 by Brittany Peterson
Offshore vs Onshore: A Head-to-Head Comparison of Data Science Resources

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

Published: January 14, 2019 by Guest Contributor
It’s the Most Wonderful Time of the Year (for Fraud)

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

Published: December 4, 2018 by Guest Contributor
Beyond Basic Data Sampling for Model Development

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

Published: November 7, 2018 by Guest Contributor
Protecting People Fuels Experian’s Commitment to Identity Protection and Fraud Prevention

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

Published: November 6, 2018 by Steve Platt
The Rise of Synthetic Identity Fraud and Children

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

Published: November 2, 2018 by Chris Ryan
In Lending as in Baseball, Moneyball Is No Longer Enough

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

Published: October 26, 2018 by Jim Bander
Machine learning and Extreme Gradient Boosting

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

Published: October 24, 2018 by Guest Contributor
Pricing Optimization: Understanding a Customer’s Price Elasticity

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

Published: October 11, 2018 by Shelly Miller
Machine Learning for Real-World Credit Risk

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

Published: September 12, 2018 by Alan Ikemura
Five Secrets to Outsourcing Data Science Successfully

Demand for data scientists is off the charts, but nationally there is a data science skills shortage. Many companies are filling this gap by outsourcing.

Published: September 5, 2018 by Guest Contributor
The MOBILE Act: It’s Official

The MOBILE Act authorizes a standard for banks to scan and retain information from driver’s licenses and id cards as part of online onboarding process.

Published: September 2, 2018 by Guest Contributor
Credit Card Insights

With credit card openings and usage increasing, now is the time to make sure your financial institution is optimizing its credit card portfolio.

Published: August 25, 2018 by Guest Contributor
Stepping up Authentication

Identity-related fraud exposure and losses are increasing, and the underlying schemes are becoming more complex. To make better decisions on the need for step-up authentication in this dynamic environment, you should take a layered approach to the services you need.

Published: August 9, 2018 by Guest Contributor
Consumers are Getting Smarter About Credit Scores

Consumer credit scores A recent survey* released by the Consumer Federation of America and VantageScore Solutions, LLC, shows that potential borrowers are more likely to have obtained their credit score than nonborrowers. 70% of those intending to take out a consumer or mortgage loan in the next year received their credit score in the past year, compared with 57% of those not planning to borrow. Consumers who obtained at least one credit score in the past year were more likely to say their knowledge of scores is good or excellent compared with those who haven’t (68% versus 45%). While progress is being made, there’s still a lot of room for improvement. By educating consumers, lenders can strengthen consumer relationships and reduce loss rates. It’s a win-win for consumers and financial institutions. Credit education for your customers>

Published: August 5, 2018 by Guest Contributor

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