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Predictive analytics involves the analysis of current and historical data to anticipate an event or some characteristic of an event (the probability, severity, magnitude, or duration). Predictive analytics can also support decision making by examining data or content to answer the question “What should be done?” or “What can we do to make ___ happen?”. It is characterized by techniques such as graph analysis, simulation, complex event processing, neural networks, recommendation engines, heuristics, and machine learning.
« Back to Glossary IndexPredictive analytics involves the analysis of current and historical data to anticipate an event or some characteristic of an event (the probability, severity, magnitude, or duration). Predictive analytics can also support decision making by examining data or content to answer the question “What should be done?” or “What can we do to make ___ happen?”. It is characterized by techniques such as graph analysis, simulation, complex event processing, neural networks, recommendation engines, heuristics, and machine learning.