The Resource Big data @ work : dispelling the myths, uncovering the opportunities, Thomas H. Davenport
Big data @ work : dispelling the myths, uncovering the opportunities, Thomas H. Davenport
Resource Information
The item Big data @ work : dispelling the myths, uncovering the opportunities, Thomas H. Davenport represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Big data @ work : dispelling the myths, uncovering the opportunities, Thomas H. Davenport represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Summary
-
- "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."--book jacket
- When the term 2big data3 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{u2014}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. This book will help you understand: {u2022} Why big data is important to you and your organization {u2022} What technology you need to manage it {u2022} How big data could change your job, your company, and your industry {u2022} How to hire, rent, or develop the kinds of people who make big data work {u2022} The key success factors in implementing any big data project {u2022} 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{u2014}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. --Provided by publisher
- Language
- eng
- Extent
- ix, 228 pages
- Isbn
- 9781422168165
- Label
- Big data @ work : dispelling the myths, uncovering the opportunities
- Title
- Big data @ work
- Title remainder
- dispelling the myths, uncovering the opportunities
- Statement of responsibility
- Thomas H. Davenport
- Title variation
- Big data at work
- Language
- eng
- Summary
-
- "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."--book jacket
- When the term 2big data3 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{u2014}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. This book will help you understand: {u2022} Why big data is important to you and your organization {u2022} What technology you need to manage it {u2022} How big data could change your job, your company, and your industry {u2022} How to hire, rent, or develop the kinds of people who make big data work {u2022} The key success factors in implementing any big data project {u2022} 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{u2014}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. --Provided by publisher
- Cataloging source
- DLC
- http://library.link/vocab/creatorDate
- 1954-
- http://library.link/vocab/creatorName
- Davenport, Thomas H.
- Dewey number
- 658.4/038
- Illustrations
- illustrations
- Index
- index present
- LC call number
- HD38.7
- LC item number
- .D379 2014
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/subjectName
-
- Business intelligence
- Big data
- Business planning
- Data mining
- Business intelligence
- Big data
- Business planning
- Data mining
- Label
- Big data @ work : dispelling the myths, uncovering the opportunities, Thomas H. Davenport
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier MARC source
- rdacarrier.
- Content category
- text
- Content type MARC source
- rdacontent.
- Control code
- 859253329
- Dimensions
- 25 cm
- Extent
- ix, 228 pages
- Isbn
- 9781422168165
- Isbn Type
- (hbk.)
- Lccn
- 2013039005
- Media category
- unmediated
- Media MARC source
- rdamedia.
- Other physical details
- illustrations
- System control number
- (OCoLC)859253329
- Label
- Big data @ work : dispelling the myths, uncovering the opportunities, Thomas H. Davenport
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier MARC source
- rdacarrier.
- Content category
- text
- Content type MARC source
- rdacontent.
- Control code
- 859253329
- Dimensions
- 25 cm
- Extent
- ix, 228 pages
- Isbn
- 9781422168165
- Isbn Type
- (hbk.)
- Lccn
- 2013039005
- Media category
- unmediated
- Media MARC source
- rdamedia.
- Other physical details
- illustrations
- System control number
- (OCoLC)859253329
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Big-data--work--dispelling-the-myths/7PKSiuX_7j0/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Big-data--work--dispelling-the-myths/7PKSiuX_7j0/">Big data @ work : dispelling the myths, uncovering the opportunities, Thomas H. Davenport</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
