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RT Book, Whole SR Electronic DC OPAC T1 Big Data : Understanding How Data Powers Big Business A1 Schmarzo, Bill YR 2013 FD 2013 SP 1 online resource (242 pages) K1 Big data -- Social aspects K1 Data mining -- Social aspects K1 Electronic information resources -- Social aspects K1 Donn�ees volumineuses -- Aspect social K1 Exploration de donn�ees (Informatique) -- Aspect social K1 Sources d'information �electroniques -- Aspect social K1 POLITICAL SCIENCE -- Public Policy -- Cultural Policy K1 SOCIAL SCIENCE -- Anthropology -- Cultural K1 SOCIAL SCIENCE -- Popular Culture K1 Big data -- Social aspects K1 Data mining -- Social aspects K1 Unternehmen K1 Datenanalyse K1 Data Mining K1 Donn�ees massives K1 Planification strat�egique K1 Exploration de donn�ees K1 Data Warehouse K1 Management-Informationssystem K1 Business and Management PB Wiley PP Hoboken SN 9781118740033 SN 1118740033 SN 9781118740002 SN 1118740009 SN 9781119701859 SN 1119701856 LA English (英語) CL LCC:QA76.9.D343eb CL DC:306.46 NO Cover; Title Page; Copyright; Contents; Chapter 1 The Big Data Business Opportunity; The Business Transformation Imperative; Walmart Case Study; The Big Data Business Model Maturity Index; Business Monitoring; Business Insights; Business Optimization; Data Monetization; Business Metamorphosis; Big Data Business Model Maturity Observations; Summary; Chapter 2 Big Data History Lesson; Consumer Package Goods and Retail Industry Pre-1988; Lessons Learned and Applicability to Today's Big Data Movement; Summary; Chapter 3 Business Impact of Big Data NO Big Data Impacts: The Questions Business Users Can AnswerManaging Using the Right Metrics; Data Monetization Opportunities; Digital Media Data Monetization Example; Digital Media Data Assets and Understanding Target Users; Data Monetization Transformations and Enrichments; Summary; Chapter 4 Organizational Impact of Big Data; Data Analytics Lifecycle; Data Scientist Roles and Responsibilities; Discovery; Data Preparation; Model Planning; Model Building; Communicate Results; Operationalize; New Organizational Roles; User Experience Team; New Senior Management Roles NO Liberating Organizational CreativitySummary; Chapter 5 Understanding Decision Theory; Business Intelligence Challenge; The Death of Why; Big Data User Interface Ramifications; The Human Challenge of Decision Making; Traps in Decision Making; What Can One Do?; Summary; Chapter 6 Creating the Big Data Strategy; The Big Data Strategy Document; Customer Intimacy Example; Turning the Strategy Document into Action; Starbucks Big Data Strategy Document Example; San Francisco Giants Big Data Strategy Document Example; Summary; Chapter 7 Understanding Your Value Creation Process NO Understanding the Big Data Value Creation DriversDriver #1: Access to More Detailed Transactional Data; Driver #2: Access to Unstructured Data; Driver #3: Access to Low-latency (Real-Time) Data; Driver #4: Integration of Predictive Analytics; Big Data Envisioning Worksheet; Big Data Business Drivers: Predictive Maintenance Example; Big Data Business Drivers: Customer Satisfaction Example; Big Data Business Drivers: Customer Micro-segmentation Example; Michael Porter's Valuation Creation Models; Michael Porter's Five Forces Analysis; Michael Porter's Value Chain Analysis NO Value Creation Process: Merchandising ExampleSummary; Chapter 8 Big Data User Experience Ramifications; The Unintelligent User Experience; Understanding the Key Decisions to Build a Relevant User Experience; Using Big Data Analytics to Improve Customer Engagement; Uncovering and Leveraging Customer Insights; Rewiring Your Customer Lifecycle Management Processes; Using Customer Insights to Drive Business Profitability; Big Data Can Power a New Customer Experience; B2C Example: Powering the Retail Customer Experience; B2B Example: Powering Small- and Medium-Sized Merchant Effectiveness; Summary NO Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete NO Print version record NO English NO John Wiley and Sons Wiley Online Library: Complete oBooks NO HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119701859 NO 書誌ID=EB00004461; LK [E Book]https://onlinelibrary.wiley.com/doi/book/10.1002/9781119701859 OL 30