- Gebundene Ausgabe: 320 Seiten
- Verlag: John Wiley & Sons; Auflage: 1 (8. März 2013)
- Sprache: Englisch
- ISBN-10: 1118356853
- ISBN-13: 978-1118356852
- Größe und/oder Gewicht: 16 x 2,8 x 23,6 cm
- Durchschnittliche Kundenbewertung: 3 Kundenrezensionen
- Amazon Bestseller-Rang: Nr. 45.418 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Komplettes Inhaltsverzeichnis ansehen
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Englisch) Gebundene Ausgabe – 8. März 2013
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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
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.
Derzeit tritt ein Problem beim Filtern der Rezensionen auf. Bitte versuchen Sie es später noch einmal.
comments of others and the positive reviews, I would like to help other people to not
buy the book. Why?
Eric Siegel does not even touch on "predictive analytics" (PA) except in a very very superficial
way. And by superficial I mean that you know more about PA reading the wikipedia article about it
than after reading this book.
Reading it is a frustrating experience: the same dozens "business cases" (a collection of buzzwords
and exaggerations) are repeated over and over again. However, throughout the whole book the reader
does not learn a single thing about decision trees, neural nets or other techniques.
Let me repeat: do not buy this book! It is 300 pages of self-adulation of Eric Siegel...
Hopefully this helps others to let themselves not be blinded by the dazzling marketing for this "book".
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The book is intentionally not filled with math formulas (which may turn off some) but it focuses more on use cases of how the businesses around you are leveraging the data they already collect through daily operations. It's about how they are gaining a better insight into where their efforts are best spent to maximize their return on investment or capitalize on a previously masked rich subset of their existing customer base.
If you're looking for a technical breakdown of how these algorithms work or are applied there are dozens of other books that Eric recommends as followup (referenced in probably the best notes section of any book I've ever seen).
If you want a taste of the kind of information that you'll find in the book you should look on the Predictive Analytic World website for his keynote speech he did in Boston last year. It's a great book overview and convinced me to purchase the book.
The quotes and examples frequently tie back into financial modeling but every domain is touched. Rather than being a book on math, this is equal parts history and social science. So, this book will be enjoyable for a wide audience.
Life isn't fair, and people certainly aren't. The ways that they react to things reflects this to a degree that would surprise even the coldest eyed cynic, and there it is- the thing that bothered me so much....but it's best if you face it. There are some pleasant discoveries in here too, but I think the most important aspect is illusion busting. Those sweet daydreams about how things should be, might be exactly what is holding you back.
Forewarned is forearmed, and the information in here is of a hefty caliber. Use it well.
Yes, I did actually buy this book, and it was worth every penny.