Big Data, Big Analytics - Emerging Business Intelligence Analytic Trends for Today s

Informationen zum Autor 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. Klappentext Unique prospective on the big data analytics phenomenon for both business and IT professionalsThe 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. Zusammenfassung 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. Inhaltsverzeichnis 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 Is IT Losing Control of Web Analytics? 23 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 Hol...

List of 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
 
Is IT Losing Control of Web Analytics? 23
 
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
 
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
 
More on Big Data Storage 96
 
Big Data Computational Limitations 96
 
Big Data Emerging Technologies 97
 
CHAPTER 5 Business Analytics 99
 
The Last Mile in Data Analysis 101
 
Geospatial Intelligence Will Make Your Life Better 103
 
Listening: Is It Signal or Noise? 106
 
Consumption of Analytics 108
 
From Creation to Consumption 110
 
Visualizing: How to Make It Consumable? 110
 
Organizations Are Using Data Visualization as a Way to Take Immediate Action 116
 
Moving from Sampling to Using All the Data 121
 

Product details

• Authors: Chambers, Michel Chambers, Michele Chambers, Michele Minelli Chambers, Chambers Michele, Dhiraj, Ambiga Dhiraj, Dhiraj Ambiga, Minelli, M Minelli, Michae Minelli, Michael Minelli, Michael Chambers Minelli, Michael Smith Minelli, Minelli Michael, Dhiraj Rajaram, David Smith
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 01.02.2013
• EAN: 9781118147603
• ISBN: 978-1-118-14760-3
• No. of pages: 224
• Series: Wiley CIO; Wiley CIO
• Subjects: Social sciences, law, business > Business > Management; Wirtschaft, Business & management, Wirtschaft u. Management, Spezialthemen Wirtschaft u. Management, Business & Management Special Topics