Fraud detection remains one of the most popular and fastest-growing big data use cases—billions of dollars are lost in both operational costs and losses. As a leading provider of business services, Symcor’s digital and data services teams embarked on an aggressive fraud detection and prevention initiative. This required a careful balance of automation and agility, along with comprehensive data governance to ensure an ethical but democraticized use of data for fraud prevention.
Chris Wojdak explains how Symcor has transformed its big data architecture using Informatica’s comprehensive machine learning-based solutions for data integration, data quality, data cataloging, and data governance.
This session is sponsored by Informatica.
Chris Wojdak is a senior program and managing architect at Symcor, where he leads innovation, digital transformation strategies, and next-generation analytics. Chris has more than 20 years of experience in solutioning and implementing modern, secure, and advanced solutions for the financial services industry. He is currently focused on helping customers leverage machine learning, the IoT, and next-generation analytics to help detect and prevent fraud as customers move to digital channels. He has received innovation awards for next-generation analytics from Informatica. Chris holds a bachelor’s degree in technology from the Faculty of Engineering at McMaster University.
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