Simulation: Modeling cause & effect for powerful predictive analytics

There are two main approaches to implementing predictive analytics: pattern recognition and simulation.

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Artificial intelligence and machine learning, which generate a lot of buzz across industries, employ pattern recognition, while simulation is another, more human alternative. Simulation is a powerful approach to understanding the causes behind business problems, predicting future trends, and recommending optimum decisions. This ebook explains simulation — where it came from, where it is headed, 5 stages in developing a simulation — and most importantly, how it makes big data useful by producing actionable predictions.

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