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Big Data at Work: Dispelling the Myths, Uncovering the Opportunities Illustrated Edition

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Go ahead, be skeptical about big data. The author wasat first.

When the term big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind.

Now, in clear, conversational language, Davenport explains what big data meansand why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold.

This book will help you understand:
Why big data is important to you and your organization
What technology you need to manage it
How big data could change your job, your company, and your industry
How to hire, rent, or develop the kinds of people who make big data work
The key success factors in implementing any big data project
How big data is leading to a new approach to managing analytics

With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunitiesfrom improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.

ISBN-10

1422168166
ISBN-13

978-1422168165
Edition

Illustrated
Publisher

Harvard Business Review Press
Publication date

February 25, 2014
Language

English
Dimensions

6.2 x 0.9 x 9.2 inches
Print length

228 pages
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Editorial Reviews

Review

It’s a required reading for managers that need a straightforward, hype-free introduction to big data, a clear and clarifying signal” in the incredible noise around the confusing and mislabeled term.” Forbes

Davenport has written a thought-provoking book about a current topic that is becoming more important to business and individuals every day. Summed up: Highly recommended.” Choice magazine

The book covers all aspects of the issue, from what big data means, to whom you must hire, to what technologies to follow. It’s surprisingly easy to read, given the topic, and offers good examples to ponder from startups and large firm.” Globe & Mail

Davenport is a methodologically-sound researcher. His deep interviews and surveys of executives and data scientists set a standard for excellence in an industry where marketing bravado generally supersedes scientific rigor” Information Management (information-management.com)

ADVANCE PRAISE for Big Data at Work:

Jane Griffin, Managing Director Analytics, Deloitte Canada and Americas
Big Data at Work is the first and only book to describe how real organizations are using big data, extracting value from it, and combining it with other forms of data and analytics. It’s an invaluable guide to planning and action.”

Jonathan D. Becher, Chief Marketing Officer, SAP
Is Big Data a buzzword or does it have practical applications in business? Big Data at Work goes beyond tech-talk to help businesspeople turn Big Data into Big Decisions.”

Gary L. Gottlieb, MD, MBA, President and CEO, Partners HealthCare System, Inc.; Professor of Psychiatry, Harvard Medical School
Big Data at Work provides a terrific foundation for thoughtful planning to exploit the business opportunities created by diverse and vast sources of information. Davenport’s clear approach will enlighten managers about the need to carefully mine these resources to improve operations and products while driving new and competitive strategies.”

Rob Bearden, CEO, Hortonworks
Thomas Davenport has supplied a smart, practical book for anyone looking to unlock the opportunitiesand avoid the pitfallsof big data.”

Adele K. Sweetwood, Vice President, Americas Marketing & Support, SAS
Conversational, engaging, and an exceptional guide for decision making in the big data world. Big Data at Work offers insight to the business and technology components of a big data strategy, a path to success, and best practices from across industry sectors.”

About the Author

Thomas H. Davenport is a world-renowned thought leader on business analytics and big data, translating important technological trends into new and revitalized management practices that demonstrate the value of analytics to all functions of an organization. He is the President’s Distinguished Professor of Information Technology and Management at Babson College, a fellow of the MIT Center for Digital Business, cofounder and Director of Research at the International Institute for Analytics, and a senior adviser to Deloitte Analytics. Davenport is the author or coauthor of seventeen books, including the bestselling Competing on Analytics, as well as the author of dozens of articles for Harvard Business Review.

Product details

Publisher ‏ : ‎ Harvard Business Review Press; Illustrated edition (February 25, 2014)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 228 pages
ISBN-10 ‏ : ‎ 1422168166
ISBN-13 ‏ : ‎ 978-1422168165
Item Weight ‏ : ‎ 1 pounds
Dimensions ‏ : ‎ 6.2 x 0.9 x 9.2 inches

Best Sellers Rank: #727,113 in Books (See Top 100 in Books)
- #300 in Business Management (Books)
- #410 in Information Management (Books)
- #440 in Strategy & Competition

Customer Reviews:
4.0 155 ratings

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Thomas H. Davenport

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Tom Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College. He is also a Visiting Professor at Oxford's Said Business School, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte's AI practice. He is a widely published author and speaker on the topics of AI, analytics, information and knowledge management, reengineering, enterprise systems, and electronic business. Tom has written, co-authored, or edited 23 books, including the first books on business analytics, enterprise AI, business process reengineering, knowledge management, attention management, and enterprise systems. He has written over 300 articles for such publications as Harvard Business Review, Sloan Management Review, California Management Review, the Financial Times, and many other publications, and has been a columnist for the Wall Street Journal, Forbes, Information Week, and CIO. He has been named one of the world's top 25 consultants by Consulting magazine, one of the 100 most influential people in the IT industry by Ziff-Davis magazines, and one of the top 50 business school professors by Fortune magazine.

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155 global ratings

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Customers find the book very useful with clear concepts and illustrations. They also describe it as a great read that offers great perspective.

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Content and illustrations Reading experience Readability Perspective Writing style

22 customers mention "Content and illustrations"22 positive0 negative

Customers find the book very useful with clear concepts and a good overview of data analytics. They say it's relevant and interesting for marketers. Customers also mention that the book is technical enough for techies and demonstrative enough for novices.

"...In Chapter Two, Davenport presents a very helpful series of use cases for using Big Data in several industry applications, including business travel..." Read more

"...us at the very beginning of explaining in simple, easy to understand terms and illustrations as to what big data is and why it's different from..." Read more

"...IT is not my field. Davenport gives a good introduction to what big data is and how early adopters are using and benefitting from it...." Read more

"...around a set of topics in big data and executes rather well for a novice into ease into the domain...." Read more

12 customers mention "Reading experience"12 positive0 negative

Customers find the book a great read on a fast-moving topic.

"...Good book." Read more

"...like this but what separates this one is that it is actually an enjoyable experience...." Read more

"...It's also an easy read. Read at your leisure, and you'll finish in a few days." Read more

"...A good read for a cross-continent or cross-pond flight." Read more

4 customers mention "Readability"4 positive0 negative

Customers find the book easy to read.

"...In this book Davenport tells us in a concise, nonsense, and nontechnical way of what big data is and why it should matter to us...." Read more

"...It was an excellent first step for my interests. It's also an easy read. Read at your leisure, and you'll finish in a few days." Read more

"...Great job. It is easy to read, and this is one of the first books I have read in this topic." Read more

"Picked up the book for a class and was happy to find it didn't read like a textbook...." Read more

3 customers mention "Perspective"3 positive0 negative

Customers find the perspective of the book great and good.

"...], but this book does provide some interesting insights, particularly into the human elements of Big Data." Read more

"Offers great perspective..." Read more

"Good top level view..." Read more

3 customers mention "Writing style"3 positive0 negative

Customers find the writing style of the book good, excellent, and smart. They also say the author is an unbelievably smart guy.

"...The author is a seasoned writer and knows the subtle intangible to keep people engaged and wanted to get to the next paragraph...." Read more

"...BD is not going away. Definitely worth the read. Davenport is a good writer, excellent researcher and provides a nice compendium of where big data..." Read more

"Great book! Tom is an unbelievably smart guy and this is a great starting point to evaluate whether or not you are ready to start utilizing big data." Read more

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Cesar A. Brea

Very helpful use cases of how Big Data efforts might be focused, for business people who need them

Reviewed in the United States on April 16, 2014

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The book marks a watershed moment in the Big Data zeitgeist. Much of the business literature on the topic to this point has been more evangelical, telling us how analytics and Big Data will make us all taller, smarter, and more handsome. But the general sense for me has been of stories that are "way out there" for most organizations. This latest book is much more about how to realize these visions with tactical, practical prescriptions across a range of dimensions.

Perhaps the most important of these is having a clear idea of the challenges or opportunities for which Big Data might be part of the solution. In Chapter Two, Davenport presents a very helpful series of use cases for using Big Data in several industry applications, including business travel, energy management, retail, and home education. He pushes further to examine the relative readiness of a number of different industries and business functions, including marketing and sales. In Chapter Three he builds on these examples and sector assessments to offer a framework for shaping business strategies that leverage Big Data. He suggests cost reduction, time reduction, new offerings, and decision support as broad objectives for focusing Big Data initiatives, and then further suggests a useful distinction between discovery-oriented application of Big Data (say, for sorting out emergent patterns of behavior to address) and production-oriented usage (applying Big Data to personalize experiences based on which emergent patterns might be worth the effort).

This "ends" focused approach to applying Big Data, in contrast to an "If I build it (my giant Hadoop Cluster, etc.) they will come" is an extremely valuable perspective to have introduced at this point in the evolution of this trend, and Davenport has wrapped it in a clean, well-organized package of specific advice executives interested in this space can profit from.

2 people found this helpful

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Danielle Baum

Excellent review of Big Data

Reviewed in the United States on March 2, 2014

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Big data. What is it and why the heck do we keep hearing people talk about it? Hasn't it been around for years and years? Haven't we always looked at data? Yes..and no. In Big Data at Work author Tom Davenport, expert in analytics, shares with us that at one time he too thought big data was just a retread of old information. But then he started looking into it and he discovered...big data is new. In this book Davenport tells us in a concise, nonsense, and nontechnical way of what big data is and why it should matter to us.

Davenport starts us at the very beginning of explaining in simple, easy to understand terms and illustrations as to what big data is and why it's different from regular analytics. Big data, as Davenport explains, consists of unstructured data--such as comments on a feedback form; is made up of 100 terabytes or more of information; and that it is a continuous flow of data, it doesn't stop just because a survey ends. Davenport clearly explains to us that not everyone will need big data or people to analyze it, but walks us through the different aspects that might be of interest to us, why it matters, and how we can go about implementing it in our own businesses. He shares with us how companies the size of Netflix and Google are using big data to help change their approach at how they interact with their users, but even more importantly he shares with us how startups are utilizing big data to get ahead of their peers.

Even more importantly for me, Davenport explains to readers about how to get people on board with wanting to examine big data and how to build a strategy and framework into implementing it. I say it's the most important for me, because so many authors put out pie in the sky dreams or hopes, or suggest things that are only practical for businesses the size of Google. Davenport instead talks about how to do this on a practical small scale and gives us examples of how it has worked for different groups already in existence.

For anyone that is interested in the study of data, whether big or small, and how you can utilize it in your place of work, this is a must have book. Davenport's clear and concise terminology will help you understand it and explain it to others that you work with, even if they think that data crunching is looking at 2 spreadsheets at a time. I give this book 4 out of 5 stars and it will definitely have a place on my book shelf.

One person found this helpful

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MIke_D49

An important explanation

Reviewed in the United States on July 22, 2016

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I have been hearing "big data" for years. Finally decided to try to understand what it is. IT is not my field. Davenport gives a good introduction to what big data is and how early adopters are using and benefitting from it. A lot of it is over my head, but even as a novice I feel the book gives me a starting point in the conversation about this important development. Good book.

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Charles A.

Many "High Level" big data books like this, but none that do it as well as this.

Reviewed in the United States on April 2, 2018

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Post Read Quick Review:

Because this is geared towards executives rather than day-to-day practitioners, the language and depth are a bit shallow. We do not go under the hood and discuss the exact functioning of MR and Hadoop, popular algorithms and analytic procedures, or exact mechanics behind machine learning. What you do get is a lot of anecdotal examples (very close to what other books would structural as case studies) around a set of topics in big data and executes rather well for a novice into ease into the domain. There are many books like this but what separates this one is that it is actually an enjoyable experience. The author is a seasoned writer and knows the subtle intangible to keep people engaged and wanted to get to the next paragraph. Thomas Davenport has been an executive level thought leader on big data for some time and it really comes through. He is able to share his experience working and learning from heads of many institutions and improve the famarility of the most cultural endowed with big data,

This book? I recommend.

One person found this helpful

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Sara Pérez

Big Data, todo un mundo por descubrir.

Reviewed in Mexico on April 30, 2019

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Este libro es muy bueno y ameno para todas aquellas personas que quieran comprender mejor el concepto de Big Data y cómo funciona o para qué usan las grandes compañías nuestros datos personales, además considero que con las referencias que se manejan es muy fácil atrapar a los lectores, incluso sin saber acerca de toda la terminología que es usada y explicada.
Una frase del autor, Thomas H. Davenport, dice que en Facebook hay más datos fotográficos que todos los pixeles que ha procesado Kodak, aunque después dice que ese dato lo inventó él. Creo que muchos podemos estar de acuerdo con eso, ya que en estos últimos años esa red social ha sido de las más usadas y existen miles de personas que comparten su día a día con más de tres fotos, además de los famosos “test” con los que cuenta esta plataforma, al pedirte el acceso a tus datos no sabes dónde terminarán o qué uso se les dará y el autor nos explica qué es lo que les pasa.
Al ser un concepto “joven” es necesario que se aprenda cómo deben tratarse y analizarse, así que es necesario tener enfoques nuevos y frescos para poder manejar una cantidad de datos increíblemente grande, además de que al tener el enfoque correcto podemos automatizar procesos e implementar este tipo de proyectos de la mejor manera posible.
Es un libro que toda aquella persona que quiera iniciar con una empresa debe leer, para saber cómo se está manejando el mundo actual y saber qué debe esperar de los grandes competidores, de igual manera las personas que ya se encuentran en el mundo laborar y que quieran avanzar tecnológicamente e ir a la vanguardia con todo lo que el mundo informático tiene por ofrecer y potenciar sus ventas.

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Carlos Matos

Para o quê realmente serve?

Reviewed in Brazil on June 8, 2015

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O livro apresenta os cenários de negócio onde esta nova forma de tratar dos dados se aplica, desmistificando seu uso como uma fórmula para qualquer problema.

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Sandra Mealha

Five Stars

Reviewed in the United Kingdom on January 29, 2016

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Looks great Book

Claudia Talamona

Lo consiglio

Reviewed in Italy on December 11, 2015

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Per quanto riguarda la spedizione, come al solito nessun problema.
Libro veramente interessante sia per chi è già nel mondo del lavoro ma anche per gli studenti. Il testo è molto scorrevole e scritto in un inglese non particolarmente complesso, facilme te capibile.
Consigliatissimo

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Manageris

A lire pour bien comprendre l'enjeu des Big Data

Reviewed in France on August 18, 2015

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L'auteur adopte à la fois une démarche pédagogique et opérationnelle pour traiter des Big Data : il vulgarise les Big Data, explique simplement en quoi cela consiste et en présente clairement les enjeux et facteurs clés de succès. L'ouvrage présente l'intérêt de proposer de nombreux exemples tirés de secteurs d'activités très variés : cela aide à se représenter ce que l'on peut attendre des Big Data.

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