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Predictive analytics refers to using historical data, machine learning, and artificial intelligence to predict what will happen in the future. This historical data is fed into a mathematical model that considers key trends and patterns in the data. The model is then applied to current data to predict what will happen next.
At its heart, predictive analytics answers the question, “What is most likely to happen based on my current data, and what can I do to change that outcome?”
Our Enterprise Predicitive Analytics Report covers:
- Key questions for global enterprise practitioners
- Specific challenges executives face in implementing predictive analytics
- Insightful use cases of where predictive analytics is helping global enterprise
