Predictive Analytics The Power to Predict Who Will Click, Buy, Lie, or Die

ISBN-10: 1118356853

ISBN-13: 9781118356852

Edition: 2013

Authors: Eric Siegel, Thomas H. Davenport

List price: $28.00
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Predictive analytics uses statistical techniques to analyze current and historical facts to make predictions about future events. In business, analytics use patterns found in data to identify risks and opportunities and the results are then used to help businesses make informed and beneficial decisions. Predictive analytics is used in a variety of business fields, including, finance, insurance, telecommunications, retail, and healthcare.The Prediction Effect is a functional, practical book that helps readers gain maximal value from predictive analytics as well as learn what is fascinating about the core technology and how it works. The book will deliver a palatable serving of substance regarding the core technology to give executives and managers a concrete sense of how predictive analytics functions.The book will demonstrate how to use predictive analytics toassess a borrower's potential and ability to pay before granting a loanpredict how expensive an insurance enrollee is likely to be by predicting the chances of illness, default, and bankruptcypredict store level demand for inventory management purposesreduce a business's exposure to fraudidentify the most effective combination of products and marketing material that should be used to target consumersdetermine the likelihood of a customer wanting to terminate service analyze customers' spending and usage to help sell the right product at the right timedetermine which patients are at risk of developing certain conditions, like diabetes, asthma, and heart disease predict customers' buying habits in order to promote relevant products
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Book details

List price: $28.00
Copyright year: 2013
Publisher: John Wiley & Sons, Incorporated
Publication date: 2/19/2013
Binding: Hardcover
Pages: 320
Size: 6.25" wide x 9.25" long x 1.25" tall
Weight: 1.474
Language: English

Preface: What is the occupational hazard of predictive analytics?
Introduction: The Prediction Effect
Liftoff! Prediction Takes Action (deployment)
With Power Comes Responsibility: Hewlett-Packard, Target, and the Police Deduce Your Secrets (ethics)
The Data Effect: A Glut at the End of the Rainbow (data)
The Machine That Learns: A Look Inside Chase's Prediction of Mortgage Risk (modeling)
The Ensemble Effect: Netflix, Crowdsourcing, and Supercharging Prediction (ensembles)
Watson and the Jeopardy! Challenge (question answering)
Persuasion by the Numbers: How Telenor, U.S. Bank, and the Obama Campaign Engineered Influence (uplift)
Afterword: Ten Predictions for the First Hour of 2020
Five Effects of Prediction
Twenty-One Applications of Predictive Analytics
Prediction People-Cast of "Characters"
About the Author
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