The Data Economy: Real-Time Fraud Detection and Exabyte Analytics

The Data Economy is a video podcast series that explores how leaders use data to make positive impacts on their businesses, customers, and the world. Experian, one of the three major U.S. credit bureaus, shares its experiences with big data, real-time data processing, and managing personal data. Eric Haller, EVP & GM in Identity, Fraud & DataLabs at Experian, discusses how his organization uses detection algorithms to pinpoint fraudulent transactions, analyzes over an exabyte of data, and processes data in under 200 milliseconds for retail fraud detection. He also emphasizes the importance of finding new data sources, signals, and machine learning features to improve accuracy and performance. The podcast highlights Eric's insights on optimizing multicloud architectures, leveraging graph databases, and centralizing multi-business-unit data sources, as well as his advice to developers and data scientists to focus on solving business problems first and then seek technology partners and solutions that enable efficient implementations.

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