Big Data, Big Analytics. Emerging Business Intelligence and Analytic Trends for Today's Businesses. Wiley CIO

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Big Data, Big Analytics. Emerging Business Intelligence and Analytic Trends

for Today's Businesses. Wiley CIO

Description: Unique 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 terms of efficiency, productivity, revenue and profitability.

The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics.

- Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.)

- Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights

- Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

Contents: FOREWORD xiii PREFACE xix

ACKNOWLEDGMENTS xxi

CHAPTER 1 What Is Big Data and Why Is It Important? 1 A Flood of Mythic “Start-Up” Proportions 4

Big Data Is More Than Merely Big 5 Why Now? 6

A Convergence of Key Trends 7 Relatively Speaking . . . 9 A Wider Variety of Data 10

The Expanding Universe of Unstructured Data 11 Setting the Tone at the Top 15

Notes 18

CHAPTER 2 Industry Examples of Big Data 19 Digital Marketing and the Non-line World 19 Don’t Abdicate Relationships 22

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Database Marketers, Pioneers of Big Data 24 Big Data and the New School of Marketing 27 Consumers Have Changed. So Must Marketers. 28 The Right Approach: Cross-Channel Lifecycle Marketing 28 Social and Affiliate Marketing 30

Empowering Marketing with Social Intelligence 31 Fraud and Big Data 34

Risk and Big Data 37 Credit Risk Management 38

Big Data and Algorithmic Trading 40

Crunching Through Complex Interrelated Data 41 Intraday Risk Analytics, a Constant Flow of Big Data 42 Calculating Risk in Marketing 43

Other Industries Benefit from Financial Services’ Risk Experience 43 Big Data and Advances in Health Care 44

“Disruptive Analytics” 46 A Holistic Value Proposition 47 BI Is Not Data Science 49

Pioneering New Frontiers in Medicine 50

Advertising and Big Data: From Papyrus to Seeing Somebody 51 Big Data Feeds the Modern-Day Donald Draper 52

Reach, Resonance, and Reaction 53

The Need to Act Quickly (Real-Time When Possible) 54 Measurement Can Be Tricky 55

Content Delivery Matters Too 56

Optimization and Marketing Mixed Modeling 56 Beard’s Take on the Three Big Data Vs in Advertising 57 Using Consumer Products as a Doorway 58

Notes 59

CHAPTER 3 Big Data Technology 61

The Elephant in the Room: Hadoop’s Parallel World 61 Old vs. New Approaches 64

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Data Discovery: Work the Way People’s Minds Work 65 Open-Source Technology for Big Data Analytics 67 The Cloud and Big Data 69

Predictive Analytics Moves into the Limelight 70 Software as a Service BI 72

Mobile Business Intelligence is Going Mainstream 73 Ease of Mobile Application Deployment 75

Crowdsourcing Analytics 76

Inter- and Trans-Firewall Analytics 77

R&D Approach Helps Adopt New Technology 80 Adding Big Data Technology into the Mix 81 Big Data Technology Terms 83

Data Size 101 86 Notes 88

CHAPTER 4 Information Management 89 The Big Data Foundation 89

Big Data Computing Platforms (or Computing Platforms That Handle the Big Data Analytics Tsunami) 92 Big Data Computation 93

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