LEADER 05421oam 2200649 450 001 9910823482903321 005 20190911100039.0 010 $a1-118-56226-7 010 $a1-118-23915-6 010 $a1-283-94095-7 010 $a1-118-22583-X 035 $a(OCLoC)826453127 035 $a(MiFhGG)GVRL6RND 035 $a(EXLCZ)992670000000317077 100 $a20121109d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aBig data, big analytics $eemerging business intelligence and analytic trends for today's businesses /$fMichael Minelli, Michele Chambers, Ambiga Dhiraj 205 $a1st edition 210 $aHoboken, N.J. $cJohn Wiley & Sons, Inc.$d2013 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Inc.,$d2013. 215 $a1 online resource (xxiii, 187 pages) $cillustrations (some color) 225 0 $aWiley CIO series 300 $aDescription based upon print version of record. 311 $a1-118-14760-X 320 $aIncludes bibliographical references and index. 327 $aBig Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses; Copyright; Contents; Foreword; Preface; Acknowledgments; Chapter 1: What Is Big Data and Why Is It Important?; A Flood of Mythic ""Start-Up"" Proportions; Big Data Is More Than Merely Big; Why Now?; A Convergence of Key Trends; Relatively Speaking . . .; A Wider Variety of Data; The Expanding Universe of Unstructured Data; Setting the Tone at the Top; Notes; Chapter 2: Industry Examples of Big Data; Digital Marketing and the Non-line World; Don't Abdicate Relationships 327 $aIs IT Losing Control of Web Analytics?Database Marketers, Pioneers of Big Data; Big Data and the New School of Marketing; Consumers Have Changed. So Must Marketers.; The Right Approach: Cross-Channel Lifecycle Marketing; Social and Affiliate Marketing; Empowering Marketing with Social Intelligence; Fraud and Big Data; Risk and Big Data; Credit Risk Management; Big Data and Algorithmic Trading; Crunching Through Complex Interrelated Data; Intraday Risk Analytics, a Constant Flow of Big Data; Calculating Risk in Marketing; Other Industries Benefit from Financial Services' Risk Experience 327 $aBig Data and Advances in Health Care""Disruptive Analytics""; A Holistic Value Proposition; BI Is Not Data Science; Pioneering New Frontiers in Medicine; Advertising and Big Data: From Papyrus to Seeing Somebody; Big Data Feeds the Modern-Day Donald Draper; Reach, Resonance, and Reaction; The Need to Act Quickly (Real-Time When Possible); Measurement Can Be Tricky; Content Delivery Matters Too; Optimization and Marketing Mixed Modeling; Beard's Take on the Three Big Data Vs in Advertising; Using Consumer Products as a Doorway; Notes; Chapter 3: Big Data Technology 327 $aThe Elephant in the Room: Hadoop's Parallel WorldOld vs. New Approaches; Data Discovery: Work the Way People's Minds Work; Open-Source Technology for Big Data Analytics; The Cloud and Big Data; Predictive Analytics Moves into the Limelight; Software as a Service BI; Mobile Business Intelligence is Going Mainstream; Ease of Mobile Application Deployment; Crowdsourcing Analytics; Inter- and Trans-Firewall Analytics; R&D Approach Helps Adopt New Technology; Adding Big Data Technology into the Mix; Big Data Technology Terms; Data Size 101; Notes; Chapter 4: Information Management 327 $aThe Big Data FoundationBig Data Computing Platforms (or Computing Platforms That Handle the Big Data Analytics Tsunami); Big Data Computation; More on Big Data Storage; Big Data Computational Limitations; Big Data Emerging Technologies; Chapter 5: Business Analytics; The Last Mile in Data Analysis; Geospatial Intelligence Will Make Your Life Better; Listening: Is It Signal or Noise?; Consumption of Analytics; From Creation to Consumption; Visualizing: How to Make It Consumable?; Organizations Are Using Data Visualization as a Way to Take Immediate Action 327 $aMoving from Sampling to Using All the Data 330 $aUnique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in ter 410 0$aWiley CIO series. 606 $aBusiness intelligence 606 $aInformation technology 606 $aElectronic data processing 606 $aData mining 606 $aStrategic planning 615 0$aBusiness intelligence. 615 0$aInformation technology. 615 0$aElectronic data processing. 615 0$aData mining. 615 0$aStrategic planning. 676 $a658.4/72 700 $aMinelli$b Michael$f1974-$01601556 702 $aChambers$b Michele 702 $aDhiraj$b Ambiga$f1975- 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910823482903321 996 $aBig data, big analytics$93925191 997 $aUNINA