| Record ID | marc_columbia/Columbia-extract-20221130-025.mrc:28210617:3491 |
| Source | marc_columbia |
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LEADER: 03491cam a2200577 i 4500
001 12065741
005 20160919155637.0
008 130930s2014 maua b 001 0 eng
010 $a 2013039005
019 $a854612635$a854612754$a878912895$a882569686$a936059427
020 $a9781422168165$q(alk. paper)
020 $a1422168166$q(alk. paper)
020 $a1422168174$q(electronic bk.)
020 $a9781422168172$q(electronic bk.)
035 $a(OCoLC)ocn859253329
035 $a(OCoLC)859253329$z(OCoLC)854612635$z(OCoLC)854612754$z(OCoLC)878912895$z(OCoLC)882569686$z(OCoLC)936059427
035 $a(NNC)12065741
040 $aDLC$beng$erda$cDLC$dIG#$dBDX$dYDXCP$dBTCTA$dWIM$dDEBBG$dQBX$dVP@$dVLR$dLMR$dLTSCA$dOMB$dCDX$dZ35$dBEDGE$dS1C$dVXI$dCGN$dOKJ$dOCLCQ$dS3O
042 $apcc
050 00 $aHD38.7$b.D379 2014
082 00 $a658.4/038$223
084 $aQP 345$2rvk
100 1 $aDavenport, Thomas H.,$d1954-
245 10 $aBig data @ work :$bdispelling the myths, uncovering the opportunities /$cThomas H. Davenport.
246 3 $aBig data at work
264 1 $aBoston Massachusetts :$bHarvard Business Review Press,$c[2014]
300 $aix, 228 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references (pages 211-216) and index.
505 0 $aWhy 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.
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."--Jacket.
650 0 $aBusiness intelligence$xData processing.
650 0 $aBig data.
650 0 $aBusiness planning$xStatistical methods.
650 0 $aData mining.
650 7 $aEconomie de la connaissance.$2eclas
650 7 $aFouille de données.$2eclas
650 7 $aAnalyse des données.$2eclas
650 7 $aVeille technologique.$2eclas
650 7 $aTechnologies de l'information et de la communication.$2eclas
650 07 $aBusiness Intelligence.$0(DE-588)4588307-5$2gnd
650 07 $aData Mining.$0(DE-588)4428654-5$2gnd
650 07 $aMassendaten.$0(DE-588)4802620-7$2gnd
650 07 $aUnternehmensplanung.$0(DE-588)4078609-2$2gnd
650 7 $aData mining.$2sao
856 41 $uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027200111&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA$zTable of contents
856 41 $uhttp://swbplus.bsz-bw.de/bsz399601651inh.htm$3Table of contents
852 0 $boff,bus$hHD38.7$i.D379 2014
852 00 $bbus$hHD38.7$i.D379 2014