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Big Data at Work: Dispelling the Myths, Uncovering the Opportuni...
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Book Description Go ahead, be skeptical about big data. The author was—at 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 means—and 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.
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Go ahead, be skeptical about big
data. The author was—at 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.
N
ow, in clear, conversational language,
D
avenport explains what big data means—and
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.
T
his book will help you understand:
�
Wh
y big data is important to you and your
organization
�
What technology you need to manag
e it
�
H
o
w big data could change your job, your
company, and your industry
�
H
o
w 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 opportunities—from
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.
jacket design: stephani finks
Stay informed. Join the diScuSSion.
ViSit hbr.org/bookS
follow @harVardbiz on twitter
find uS on facebook, linkedin, youtube, and google+
hbr.org/bookS
US$30.00 / CAN$34.50
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.
THOMAS H. DAVENPORT
From the bestselling author of Competing on Analytics
big
data
@
work
harvard business review press
Dispelling
the Myths,
Uncovering
the Opportunities
ruSS campbell
ISBN-13: 978-1-4221-6816-5
9
7 8 1 4 2 2 1 6 8 1 6 5
9 0 0 0 0
“ 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.”
—JANE GRIFFIN, Managing Director Analytics, Deloitte Canada and Americas
“ 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.”
—JONATHAN D. BECHER, Chief Marketing Ocer, SAP
“ 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.”
— GARY L. GOTTLIEB, MD, MBA, President and CEO, Partners HealthCare System, Inc.;
Professor of Psychiatry, Harvard Medical School
“ Thomas Davenport has supplied a smart, practical book for anyone looking
to unlock the opportunities—and avoid the pitfalls—of big data.”
—ROB BEARDEN, CEO, Hortonworks
“ Conversational, engaging, and an exceptional guide for decision making
in the big data world. Big Data at Work oers insight to the business
and technology components of a big data strategy, a path to success,
and best practices from across industry sectors.”
— ADELE K. SWEETWOOD, Vice President,
Americas Marketing & Support, SAS
management
DAVENPORT
big data @ work
big
data
@
work
FM.indd 1 03/12/13 1:51 PM
FM.indd 2 03/12/13 1:51 PM
THOMAS H. DAVENPORT
Harvard Business Review Press
Boston, Massachusetts
big
data
@
work
Dispelling
the Myths,
Uncovering
the Opportunities
FM.indd 3 03/12/13 1:51 PM
Copyright 2014 Harvard Business School Publishing Corporation
All rights reserved
No part of this publication may be reproduced, stored in or introduced into a retrieval
system, or transmitted, in any form, or by any means (electronic, mechanical,
photocopying, recording, or otherwise), without the prior permission of the
publisher. Requests for permission should be directed to permissions@hbsp.harvard
.edu, or mailed to Permissions, Harvard Business School Publishing, 60 Harvard
Way, Boston, Massachusetts 02163.
The web addresses referenced in this book were live and correct at the time of the
book’s publication but may be subject to change.
Library of Congress Cataloging-in-Publication Data
Davenport, Thomas H., 1954-
Big data at work : dispelling the myths, uncovering the opportunities / Thomas H.
Davenport.
pages cm
ISBN 978-1-4221-6816-5 (alk. paper)
1. Business intelligence—Data processing. 2. Big data. 3. Business planning— Statistical
methods. 4. Data mining. I. Title.
HD38.7.D379 2014
658.4’038—dc23
2013039005
ISBN: 9781422168165
eISBN: 9781422168172
FM.indd 4 03/12/13 1:51 PM
Find more digital content or join the discussion on www.hbr.org.
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