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

by

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

 

Synopses & Reviews

Publisher Comments:

"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.

Synopsis:

"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.

Synopsis:

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

About the Author

ERIC SIEGEL, PhD, founder of Predictive Analytics World and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. Eric is a former Columbia University professor—who used to sing educational songs to his students—and a renowned speaker, educator, and leader in the field.

Table of Contents

Preface

Introduction

Chapter 1: Liftoff! Prediction Takes Action - The Stock Market

Chapter 2: With Power Comes Responsibility - HP, Target and the Police Deduce Your Secrets

Chapter 3: The Data Effect - Blogger Anxiety and the Economy

Chapter 4: The Machine that Learns - Chase and Mortgage Risk

Chapter 5: Supercharging Prediction - Netflix and Crowdsourcing

Chapter 6: Watson and the Jeopardy! Challenge - IBM

Chapter 7: Persuasion by the Numbers - Telenor and U.S. Bank

Addendum

Acknowledgements

Product Details

ISBN:
9781118356852
Author:
Siegel, Eric
Publisher:
John Wiley & Sons
Author:
Siegel, E.
Author:
Davenport, Thomas H.
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General Business & Economics
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General & Introductory Business & Management
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Business - General
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advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
Business Writing
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
Business & Economics-Econometrics
Subject:
Business & Economics-Forecasting
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
ision making, data driven decisioning, data driven decisions, data mining, data science, data warehousing, database analytics, database marketing, datamart, decision analytics, decision automation, decision science, decision support, decision trees, deman
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
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antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
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Subject:
antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
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advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
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antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence, business rules, CRM, CRM analytics, customer analytics, customer profiling
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antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
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Subject:
ics, human resource analytics, incremental lift modeling, machine learning, market segmentation, marketing analysis, marketing analytics, net lift modeling, operations research, predictive analytics, probability, quantitative methods, response modeling, r
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ics, human resource analytics, incremental lift modeling, machine learning, market segmentation, marketing analysis, marketing analytics, net lift modeling, operations research, predictive analytics, probability, quantitative methods, response modeling, r
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ictive analytics, probability, quantitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift mod
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customer analytics, customer profiling, customer relationship management, customer segmentation, data analysis, data analytics, data driven business, data driven decision making, data driven decisioning, data driven decisions, data mining, data science, d
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t modeling, web analytics, workforce analytics
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antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
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antitative methods, response modeling, risk modeling, segmentation, social media analytics, statistical analysis, statistical modeling, statistical techniques, statistics, true lift modeling, true-lift modeling, uplift modeling, web analytics, workforce a
Subject:
advanced analytics, AI, algorithmic trading, analytical decision making, analytics, artificial intelligence, big data, black box trading, business analytics, business intelligence,
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business rules, CRM, CRM analytics, customer analytics, customer profiling, customer relationship management, customer segmentation, data analysis, data analytics, data driven business, data driven decision making, data driven decisioning, data driven dec
Subject:
modeling, true-lift modeling, uplift modeling, web analytics, workforce analytics
Copyright:
Publication Date:
20130226
Binding:
HARDCOVER
Language:
English
Pages:
320
Dimensions:
229 x 159 x 30.7 mm 18.88 oz

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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die New Hardcover
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$28.00 In Stock
Product details 320 pages John Wiley & Sons - English 9781118356852 Reviews:
"Synopsis" by , "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.

"Synopsis" by , 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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