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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Inglês) Capa dura – 11 jul 2016

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Capa dura, 11 jul 2016

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Capa Interna

You have been predicted by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you′re going to click, buy, lie, or die.

Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.

How? Prediction is powered by the world′s most potent, booming unnatural resource: data. Accumulated in large part as the by–product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.

Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future lifting a bit of the fog off our hazy view of tomorrow means pay dirt.

In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:

  • What type of mortgage behavior Chase Bank predicted
  • Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves
  • Why early retirement decreases life expectancy and vegetarians miss fewer flights
  • Five reasons why organizations predict death
  • How U.S. Bank and Obama′s 2012 campaign calculated the way to most strongly influence each individual
  • How IBM′s Watson computer beat the human champs on TV′s Jeopardy!
  • How Target figures out you′re pregnant and Hewlett–Packard deduces you′re about to quit your job
  • How judges and parole boards rely on crime–predicting computers to decide who stays in prison and who goes free
  • What′s predicted by Citibank, Facebook, Ford, Google, IBM, the IRS, Match.com, Pfizer, and Wikipedia

A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. Whether you are a consumer of it or consumed by it get a handle on the power of Predictive Analytics.


Praise for Predictive Analytics

"What Nate Silver did for poker and politics, this does for everything else. A broad, well–written book easily accessible to non–nerd readers."
DAVID LEINWEBER, author of Nerds on Wall Street: Math, Machines and Wired Markets

"This book is an operating manual for twenty–first–century life. Drawing predictions from big data is at the heart of nearly everything, whether it′s in science, business, finance, sports, or politics. And Eric Siegel is the ideal guide."
STEPHEN BAKER, author of The Numerati and Final Jeopardy: Man vs. Machine and the Quest to Know Everything

"Simultaneously entertaining, informative, and nuanced. Siegel goes behind the hype and makes the science exciting."
RAYID GHANI, Chief Data Scientist, Obama for America 2012 Campaign

"This is Moneyball for business, government, and healthcare."
JIM STERNE, founder, eMetrics Summit; chairman, Digital Analytics Association

"Predictive Analytics is not only a deeply informative dive into a topic that is critical to virtually every sector of business today, it is also a delight to read."
GEOFFREY MOORE, author of Crossing the Chasm

"The future is right now you′re living in it. Read this book to gain understanding of where we are and where we′re headed."
ROGER CRAIG, record–breaking analytical Jeopardy! champion; CEO, Cotinga

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Amazon.com: 4,0 de 5 estrelas 309 avaliações
5,0 de 5 estrelasThis book is a great overview for anyone who is interested in applying Predictive Analytics.
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5,0 de 5 estrelasBeautiful non-technical writing
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5,0 de 5 estrelasI see analytics differently now
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5,0 de 5 estrelasFive Stars
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5,0 de 5 estrelasI want a sequel
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