MARC details
| 000 -LEADER |
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| fixed length control field |
02831nam a22003138a 4500 |
| FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
130930s2012 mau 000 0 eng |
| LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2013039005 |
| INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781422168165 (alk. paper) |
| CATALOGING SOURCE |
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| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| AUTHENTICATION CODE |
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| Authentication code |
pcc |
| LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
HD38.7 |
| Item number |
.D379 2014 |
| DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
658.4/038 |
| Edition information |
23 |
| SYSTEM CONTROL NUMBER |
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| System control number |
(IMchF)fol14982564 |
| DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20170126100409.0 |
| CONTROL NUMBER |
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| control field |
56949 |
| CONTROL NUMBER IDENTIFIER |
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| control field |
UOWD |
| MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Davenport, Thomas H., |
| Dates associated with a name |
1954- |
| TITLE STATEMENT |
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| Title |
Big data at work : |
| Remainder of title |
dispelling the myths, uncovering the opportunities / |
| Statement of responsibility, etc. |
Thomas H. Davenport. |
| PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Boston Massachusetts : |
| Name of publisher, distributor, etc. |
Harvard Business Press, |
| Date of publication, distribution, etc. |
c2012. |
| PROJECTED PUBLICATION DATE |
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| Projected publication date |
1402 |
| PHYSICAL DESCRIPTION |
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| Extent |
ix, 226 p. : |
| Other physical details |
ill. ; |
| Dimensions |
25 cm. |
| FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Why Big Data is important to you and your organization -- How Big Data will change your job, your company and your industry -- Developing a big data strategy -- The human side of Big Data -- The technology side of Big Data -- What it takes to succeed with Big Data -- What you can learn from start-ups and online firms -- What you can learn from large companies: Big Data and analytics 3.0. |
| SUMMARY, ETC. |
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| Summary, etc. |
Go ahead, be skeptical about big data. The author was#151;at first. When the term #147;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#151;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: #149; Why big data is important to you and your organization #149; What technology you need to manage it #149; How big data could change your job, your company, and your industry #149; How to hire, rent, or develop the kinds of people who make big data work #149; The key success factors in implementing any big data project #149; 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#151;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. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Business intelligence |
| General subdivision |
Data processing. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Big data. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Business planning |
| General subdivision |
Statistical methods. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining. |
| ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
REGULAR |