Big data at work: dispelling the myths, uncovering the opportunities (Record no. 182272)

000 -LEADER
fixed length control field 02165cam a22001938i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130930s2014 mau 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781422168165
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74015
Item number D2B4
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Davenport, Thomas H.
9 (RLIN) 276351
245 10 - TITLE STATEMENT
Title Big data at work: dispelling the myths, uncovering the opportunities
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boston
Name of publisher, distributor, etc Harvard Business Review Press
Date of publication, distribution, etc 2014
300 ## - PHYSICAL DESCRIPTION
Extent ix, 228 p.
520 ## - SUMMARY, ETC.
Summary, etc 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. This book will help you understand: (1) Why big data is important to you and your organization, (2) What technology you need to manage it, (3) How big data could change your job, your company, and your industry, (4) How to hire, rent, or develop the kinds of people who make big data work, (5) The key success factors in implementing any big data project, and (6) 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business intelligence - Data processing
9 (RLIN) 276352
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
9 (RLIN) 276353
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business planning - Statistical methods
9 (RLIN) 276354
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
9 (RLIN) 276355
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 2014-03-31 Amazon 885.38 7 5 005.74015 D2B4 181742 2017-09-03 2017-06-05 1250.00 Books

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