Big Data, Big Analytics / Wiley CIO (ePub)

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 Is IT Losing Control of Web Analytics? Database Marketers, Pioneers of Big Data Big Data and the New School of Marketing Fraud and Big Data Risk and Big Data Credit Risk Management Big Data and Algorithmic Trading Calculating Risk in Marketing Other Industries Benefit from Banking's Risk Experience Big Data and Advances in Healthcare "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 Draper Measurement Can Be Tricky Beard's Take on the Three Big Data V's in Advertising Using Consumer Products as a Doorway Notes Chapter 3 Big Data Technology The Elephant in the Room: Hadoop's Parallel World Old versus 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 The Big Data Foundation Big Data Computing Platforms (or Computing Platforms that can 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

Considered one of the top sales and marketing executives in the business analytics space, MICHAEL MINELLI is Vice President, Information Services, for MasterCard Advisors. The majority of his sixteen years of analytics industry experience was at SAS, where he spent over eleven years helping clients with large-scale analytic projects related to marketing, risk, supply chain, and finance.

MICHELE CHAMBERS is currently in the Big Data Analytics startup world and was formerly the General Manager & Vice President of Big Data Analytics at IBM, where her team was responsible for working with customers to fully exploit the IBM Big Data Platform.

AMBIGA DHIRAJ is the Head of Client Delivery for Mu Sigma, where she leads their delivery teams to solve high-impact business problems in the areas of marketing, supply chain, and risk analytics for market-leading companies across multiple verticals.

Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.