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LEADER 00000cam a2200385 i 4500 
001    ocn859253329 
005    20141208142338.0 
008    130930s2014    maua     b    001 0 eng   
010      2013039005 
019    854612635|a854612754 
020    9781422168165 (hbk.) 
020    1422168166 
035    (OCoLC)ocn859253329 
040    DLC|erda|beng|cDLC|dIG#|dOCLCO|dBDX|dYDXCP|dBTCTA|dWIM
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- 
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,
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 --|tThe 
       human 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|xData processing. 
650  0 Big data. 
650  0 Business planning|xStatistical methods. 
650  0 Data mining. 
935    602203 
994    C0|bRID 
Location Call No. Status OPAC Message Public Note Gift Note
 Moore Stacks  HD38.7 .D379 2014    Available  ---