What term refers to the use of mathematics, statistics, predictive modeling, and machine learning to discover meaningful patterns in data?

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Analytics is the practice of turning data into insights through mathematical and statistical methods, predictive modeling, and machine learning. It goes beyond simply describing data; it builds models that reveal relationships, identify drivers, and forecast outcomes to guide decisions. Data mining also aims to uncover patterns, but analytics covers the broader process including interpretation, validation, and applying insights in real-world decisions. Statistics provides the tools, while analytics integrates them into a workflow that yields actionable insights. Operations research focuses more on optimizing decisions under constraints rather than on discovering patterns in data. So analytics best captures the use of math, statistics, predictive modeling, and machine learning to uncover meaningful patterns in data.