Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Revised and Updated 2nd Edition – (PDF/EPUB Version)

Mesmerizing The Seattle Post-Intelligencer Unleash the Power of Data with the Latest State-of-the-Art Techniques Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are predicting whether you’re going to click, buy, lie, or die. Predicting human behavior combats financial risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, toughens crime fighting, enhances social networks, and more. Prediction is powered by the world’s most potent, abundant unnatural resource: data. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics unleashes the power of data by using computer technology to predict individual behavior. Perfect prediction is not possible, but it is possible to put odds on future outcomes, and use those odds to drive millions of decisions. In Predictive Analytics, Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power of prediction. This revised and updated edition features recent case studies that demonstrate how predictive analytics affects everyone, every day. What type of mortgage risk Chase Bank predicted before the recession Predicting who will drop out of school, cancel a subscription, or get divorcedbefore they know it themselves Why early retirement is linked to shorter life expectancy and vegetarians miss fewer flights Five reasons why many organizations, not just insurance companies, predict death How the US Bank, European wireless carrier Telenor, and Obama’s 2012 campaign calculated the best way to strongly influence each individual Terrorism, supercomputers, and why the NSA really wants your data How IBM’s Watson computer used predictive modeling to beat human contestants on Jeopardy! How companies ascertain untold, private truthshow Target figures out you’re pregnant and Hewlett-Packard deduces you’re about to quit your job How judges and parole boards use crime-predicting computers to decide how long convicts remain in prison 150+ examples from the BBC, Citibank, ConEd, Facebook, Ford, Google, Hillary for America, IBM, the IRS, LinkedIn, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, UPS, Wikipedia, and more Winner of the Nonfiction Book and Small Business Book Awards, and textbook at more than thirty colleges and universities, this book serves experts and novices alike. This text introduces key concepts, breaks down the science, and presents captivating, real-world insights to stimulate and challenge your knowledge of the field. Whether you are a consumer of it, or consumed by it, get a handle on the power of Predictive Analytics.