Predictive Analytics and over 2 million other books are available for Amazon Kindle . Learn more


or
Sign in to turn on 1-Click ordering.
Trade in Yours
For a 5.72 Gift Card
Trade in
More Buying Choices
Have one to sell? Sell yours here
Sorry, this item is not available in
Image not available for
Colour:
Image not available

 
Start reading Predictive Analytics on your Kindle in under a minute.

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Predictive Analytics: the Power to Predict Who Will Click, Buy, Lie, or Die [Hardcover]

Thomas H. Davenport , Eric Siegel
3.7 out of 5 stars  See all reviews (9 customer reviews)
RRP: 18.99
Price: 12.72 & FREE Delivery in the UK. Details
You Save: 6.27 (33%)
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
In stock.
Dispatched from and sold by Amazon. Gift-wrap available.
Want it Tuesday, 22 April? Choose Express delivery at checkout. Details

Formats

Amazon Price New from Used from
Kindle Edition 11.45  
Hardcover 12.72  
Trade In this Item for up to 5.72
Trade in Predictive Analytics: the Power to Predict Who Will Click, Buy, Lie, or Die for an Amazon.co.uk gift card of up to 5.72, which you can then spend on millions of items across the site. Trade-in values may vary (terms apply). Learn more

Book Description

8 Mar 2013
"The Freakonomics of big data." — Stein Kretsinger , founding executive of Advertising.com; former lead analyst at Capital One This book is easily understood by all readers. Rather than a "how to" for hands–on techies, the book entices lay–readers and experts alike by covering new case studies and the latest state–of–the–art techniques. 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 risk Chase Bank predicted before the recession. 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, including one health insurance company. How U.S. Bank, European wireless carrier Telenor, and Obama′s 2012 campaign calculated the way to most strongly influence each individual. How IBM′s Watson computer used predictive modeling to answer questions and beat the human champs on TV′s Jeopardy! How companies ascertain untold, private truths — 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 the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, 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. Predictive analytics transcends human perception. This book′s final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can′t even be sure has happened afterward — but that can be predicted in advance? Whether you are a consumer of it — or consumed by it — get a handle on the power of  Predictive Analytics .

Special Offers and Product Promotions


Frequently Bought Together

Predictive Analytics: the Power to Predict Who Will Click, Buy, Lie, or Die + Big Data: A Revolution That Will Transform How We Live, Work and Think
Buy the selected items together


Product details

  • Hardcover: 320 pages
  • Publisher: John Wiley & Sons (8 Mar 2013)
  • Language: English
  • ISBN-10: 1118356853
  • ISBN-13: 978-1118356852
  • Product Dimensions: 5.9 x 9.1 x 1 cm
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (9 customer reviews)
  • Amazon Bestsellers Rank: 13,289 in Books (See Top 100 in Books)
  • See Complete Table of Contents

More About the Author

Discover books, learn about writers, and more.

Product Description

Review

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

From the Inside Flap

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 .

Inside This Book (Learn More)
Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index
Search inside this book:

What Other Items Do Customers Buy After Viewing This Item?


Customer Reviews

Most Helpful Customer Reviews
12 of 13 people found the following review helpful
4.0 out of 5 stars Entertaining, Enlightening Storytelling 13 Mar 2013
Format:Kindle Edition|Verified Purchase
I am new to the field of predictive analytics,and so i was expecting this book to somehow 'give me all the answers' regarding 'How' to conduct prediction along with useful nuggets that would have otherwise have taken me a lot of trial and error to figure out.

However, this book is more of a story that shows where the field came from, who are the main players and how it is being used (and will be used) in various sectors and industries. The book is written very well and is successful in engaging the reader and creating 'Interest' in the field. Although there is little detail regarding how to conduct the modelling, the end result of reading this book is increased awareness and interest in this field, the appendix at the end has lots of great references and recommendations for further reading, providing the detail that i was looking for.
Was this review helpful to you?
3 of 3 people found the following review helpful
5.0 out of 5 stars Entertaining and Enlightening 10 Jun 2013
Format:Hardcover
PREDICTIVE ANALYTICS by ERIC SIEGEL

Having no previous knowledge of predictive analytics, I was a little afraid this book might leave me bewildered. How wrong I was! My eyes were opened, my interest caught and held throughout this fascinating book.

There are many questions that come to mind when reading this book, but as you read on they are all very effectively answered by the author.

Predictive analytics are rooted in everyone's daily lives and can have a substantial effect on their future actions. I like the way Eric Siegel explains, giving examples that can be related to, so that even a total novice like myself has some insight into this fascinating subject.

This book is a must for anyone working in marketing. Even if they have previously explored this area, this book will open their eyes to further insight and could prove to be invaluable. It is also a must for anyone wanting to understand how predictive analytics can work.

I particularly liked the chapter on The Data Effect. Predicting the mood of Blog posts was fascinating, as a blogger myself this held my interest. As for the Far Out, Bizarre and Surprising Insights, well you simply have to read it! I devoured every word! Can early retirement really decrease life expectancy? What does your web browsing signify? This book will reveal all and it is written in such a way to hold the readers interest from start to finish.

What effect do predictions have on the business world? What predictions do famous names such as Google, Facebook, Citybank and others make? There is so much to discover in this easy to read and understand book. Anyone interested in the world of analytics will find this fascinating.

I was surprised at how much I enjoyed this book. Very well explained Dr Siegel! I think this deserves five stars.
Comment | 
Was this review helpful to you?
3 of 3 people found the following review helpful
Format:Kindle Edition
Not often do I read this type of book from start to end without diverting to another. This one I did, great intro and some stuff in there for the more experienced.
Comment | 
Was this review helpful to you?
2 of 2 people found the following review helpful
4.0 out of 5 stars Good overview 23 Aug 2013
Format:Hardcover|Verified Purchase
Provides a good overview of applications, but doesn't really explain any of the technical aspects behind the subject in any real depth
Was this review helpful to you?
2 of 2 people found the following review helpful
By Robert Morris TOP 500 REVIEWER
Format:Hardcover
One dimension of the "Information Age" is the extent to which those who offer a product or service know much more now than ever before about those who are most likely to buy or lease it. Meanwhile, prospective buyers know more now than ever before about that product or service as well as others with which it competes. The implications of this information have wide and deep impact on marketing initiatives to create or increase demand for the given offering. The challenge to those in marketing is to obtain the information they need. Moreover, it must be accurate and sufficient as well as current. Only then can sound predictions be made.

According to Eric Siegel, however, "Learning from data to predict is only the first step. To take the next step and [begin italics] act on predictions [end italics] is to fearlessly gamble...Launching predictive analytics means to act on its predictions, applying what's been learned, what's been discovered within data. It's a leap many take - you can't win if you don't play." How then to improve one's odds? Read this book.

These are among the questions to which Siegel responds:

o Why must a computer learn in order to predict?
o How can "lousy" predictions be extremely valuable?
o Why a predictive model into a field operation? What are the potential benefits of doing that?
o To what extent (if any) do predictive mechanisms place civil liberties at risk?
o How does our emotional online (social media) chatter "flip the meaning of fraud on its head"?
o What actually makes data predictive?
o How does prediction transform risk to opportunity?
o Why does machine learning require both art and science?
o What kind of predictive model can be understood by everyone?
Read more ›
Comment | 
Was this review helpful to you?
Would you like to see more reviews about this item?
Were these reviews helpful?   Let us know
ARRAY(0xb031cd50)

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 

Search Customer Discussions
Search all Amazon discussions
   


Look for similar items by category


Feedback