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Jonathan Yan

Jonathan Yan

Jonathan Yan

Senior Director of Advanced Analytics Solutions at Dun & Bradstreet

Jonathan Yan, Ph.D., is a Senior Director of Advanced Analytics Solutions at Dun & Bradstreet located in Short Hills, New Jersey. In his current role, he is leading global risk analytics projects. Having previously worked in analytical positions at New York Life Insurance and Dreyfus, Jonathan has 20+ years of professional experience managing research teams and projects. His expertise includes global risk management solutions, statistical modeling, data management and analysis. Jonathan has an extensive background providing innovative analytical solutions to global businesses in various industries. Jonathan holds a PhD degree from the University of Connecticut. His academic research papers have been presented at conferences of the International Communication Association (ICA), and his article on advertising and audience reception was published in the Journal of Communication. As a business practitioner with two patents pending on global risk solutions, Jonathan has been a speaker at multiple international conferences.

Track: Supply Chain

Monday, April 15, 10:30–11:20am

Analytics in Compliance Risk Management – An Adaptive and Recursive Approach Using Machine-Learning Methods

Compliance risk in supply chain management is one of the most critical risks that businesses are exposed to. While leading the industry in commercial credit and operational risk analytics, Dun & Bradstreet (D&B) has worked with multiple globally diversified enterprises and formulated an adaptive and recursive approach for proactive compliance risk management of global suppliers. This talk will explain what this analytics approach entails and how this approach has successfully helped businesses in today’s challenging compliance landscape. In this talk, we will start with data and its various aspects, which is the base of analytics, and then move on to methods of analytics as well as method comparisons. Finally, we will explain in depth how analytical results can be applied to and incorporated as an input in an adaptive and recursive process over time.