Improving Fraud Detection by Evangelizing Data Science Enabling a Data-Driven Organization via People, Processes, & Technology Anomaly detection, and more specifically fraud detection, is all about finding patterns of interest (outliers, exceptions, peculiarities, etc.) that deviate from expected behavior, and it is these systems that allow financial and insurance institutions to ensure the security of their systems. But in today’s world, change is the only constant, so the idea of normal behavior in the context of anomaly detection will continue to shift. In addition, systems also change over time, but gradual change doesn’t always equate to anomalous behavior. So putting a fraud detection system in place isn’t a set-it-and-forget-it deal: it needs to constantly be evaluated and u

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