LEADER 00000cam a2200505 i 4500 001 ocn859253329 005 20141208142338.0 008 130930s2014 maua b 001 0 eng 010 2013039005 019 854612635|a854612754 020 9781422168165|q(hardback) 020 1422168166 035 (OCoLC)ocn859253329 040 DLC|beng|erda|cDLC|dIG#|dOCLCO|dBDX|dYDXCP|dBTCTA|dWIM |dDEBBG|dQBX|dVP@|dVLR|dLMR|dLTSCA 049 RIDM 050 00 HD38.7|b.D379 2014 082 00 658.4/038|223 084 QP 345|2rvk 090 HD38.7 .D379 2014 100 1 Davenport, Thomas H.,|d1954-|0https://id.loc.gov/ authorities/names/n92062051 245 10 Big data @ work :|bdispelling the myths, uncovering the opportunities /|cThomas H. Davenport. 246 3 Big data at work 264 1 Boston, Massachusetts :|bHarvard Business Review Press, |c[2014] 300 ix, 228 pages :|billustrations ;|c25 cm 336 text|2rdacontent 337 unmediated|2rdamedia 338 volume|2rdacarrier 504 Includes bibliographical references and index. 505 00 |tWhy Big Data is important to you and your organization - -|tHow Big Data will change your job, your company and your industry --|tDeveloping a big data strategy --|tHuman side of Big Data --|tTechnology for Big Data --|tWhat it takes to succeed with Big Data --|tWhat you can learn from start-ups and online firms --|tWhat you can learn from large companies: Big Data and analytics 3.0. 520 "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. 650 0 Business intelligence|0https://id.loc.gov/authorities/ subjects/sh85018300|xData processing.|0https://id.loc.gov/ authorities/subjects/sh99005487 650 0 Big data.|0https://id.loc.gov/authorities/subjects/ sh2012003227 650 0 Business planning|0https://id.loc.gov/authorities/subjects /sh85032906|xStatistical methods.|0https://id.loc.gov/ authorities/subjects/sh2001008679 650 0 Data mining.|0https://id.loc.gov/authorities/subjects/ sh97002073 650 7 Business intelligence.|2fast|0https://id.worldcat.org/fast /842723 650 7 Big data.|2fast|0https://id.worldcat.org/fast/1892965 650 7 Business planning.|2fast|0https://id.worldcat.org/fast/ 842819 650 7 Statistics.|2fast|0https://id.worldcat.org/fast/1132103 650 7 Data mining.|2fast|0https://id.worldcat.org/fast/887946 901 MARCIVE 20231220 935 602203 994 C0|bRID
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