Big data @ work : dispelling the myths, uncovering the opportunities / Thomas H. Davenport.
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 explain...
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| Main Author: | |
|---|---|
| Language: | English |
| Published: |
Boston, Massachusetts :
Harvard Business Review Press,
[2014]
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| Subjects: | |
| Physical Description: | ix, 228 pages : illustrations ; 25 cm |
| Variant Title: |
Big data at work. |
| Format: | Book |
MARC
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| 245 | 1 | 0 | |a Big data @ work : |b dispelling the myths, uncovering the opportunities / |c Thomas H. Davenport. |
| 246 | 3 | |a Big data at work. | |
| 264 | 1 | |a Boston, Massachusetts : |b Harvard Business Review Press, |c [2014] | |
| 300 | |a ix, 228 pages : |b illustrations ; |c 25 cm | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references (pages 211-216) and index. | ||
| 505 | 0 | 0 | |t Why Big Data is important to you and your organization -- |t How Big Data will change your job, your company and your industry -- |t Developing a big data strategy -- |t The human side of Big Data -- |t Technology for Big Data -- |t What it takes to succeed with Big Data -- |t What you can learn from start-ups and online firms -- |t What you can learn from large companies: Big Data and analytics 3.0. |
| 520 | |a 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. | ||
| 650 | 0 | |a Business intelligence |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85018300 | |
| 650 | 0 | |a Big data. |0 http://id.loc.gov/authorities/subjects/sh2012003227 | |
| 650 | 0 | |a Business planning |x Statistical methods. |0 http://id.loc.gov/authorities/subjects/sh85032906 | |
| 650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
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