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Topic: Predictive Analytics and Predictive Modeling
Overview: Predictive analytics looks forward to attempt to divine unknown future events or actions based on data mining, statistics, modeling, deep learning and artificial intelligence, and machine learning. Business Intelligence, its predecessor in analytics, is a look backward. Predictive models are applied to business activities to better understand customers, with the goal of predicting buying patterns, potential risks, and likely opportunities.
Each industry and business sector deploys predictive analytics in different ways to improve operations and reduce risk. Please select one industry from the list in the rubric and present a use case for applying predictive analytics and predictive modeling.
Retail
Healthcare
Sports
Weather
Insurance
Energy
Social Media
Financial Services
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