Eric Haller, EVP & GM of Identity, Fraud, & Datalabs at Experian explains best practices for real-time fraud detection and generating business value with data. Learn more about real-time data → redis.com/business

Experian, one of the three major U.S. credit bureaus, operates in over forty countries, with more than 18,000 employees. Eric oversees the detection algorithms used to pinpoint fraudulent transactions and is responsible for analyzing exabytes of data to detect fraudulent transactions.

Financial services companies are dealing with heavy loads of highly sensitive information every day so, "having up to the minute, freshest, most accurate information available is critical to making the best decision at that time, particularly when it comes to credit risk or fraud" (Haller). In this episode, Eric shares best practices for real-time fraud detection, technical challenges to consider when analyzing big, high-speed data, and gives advice for how to drive business innovation through data insights.

Prior to Experian, Eric was responsible for new products with Sequoia Capital where he created and brought to market the first credit card a consumer could purchase off of a j-hook in a retailer. Eric also co-founded identity fraud detection business ID Analytics which was acquired by LifeLock and is now part of Symantec.

Other roles held by Eric include CMO of the first publicly traded machine learning company, HNC Software (acquired by FICO), and executive roles with Visa & MasterCard.

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