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You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior….

As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you’re in the area, you can get 10% off if you stop by in the next 20 minutes….

As you drink your coffee, you receive an apology from the manufacturer of a product that you complained about yesterday on your Facebook page, as well as on the company’s web site….

Finally, once you get back home, you receive notice of a special armor upgrade available for purchase in your favorite online video game.  It is just what is needed to get past some spots you’ve been struggling with….

Sound crazy? Are these things that can only happen in the distant future? No. All of these scenarios are possible today! Big data. Advanced analytics. Big data analytics. It seems you can’t escape such terms today. Everywhere you turn people are discussing, writing about, and promoting big data and advanced analytics. Well, you can now add this book to the discussion.

What is real and what is hype? Such attention can lead one to the suspicion that perhaps the analysis of big data is something that is more hype than substance. While there has been a lot of hype over the past few years, the reality is that we are in a transformative era in terms of analytic capabilities and the leveraging of massive amounts of data. If you take the time to cut through the sometimes-over-zealous hype present in the media, you’ll find something very real and very powerful underneath it. With big data, the hype is driven by genuine excitement and anticipation of the business and consumer benefits that analyzing it will yield over time.

Big data is the next wave of new data sources that will drive the next wave of analytic innovation in business, government, and academia. These innovations have the potential to radically change how organizations view their business. The analysis that big data enables will lead to decisions that are more informed and, in some cases, different from what they are today. It will yield insights that many can only dream about today. As you’ll see, there are many consistencies with the requirements to tame big data and what has always been needed to tame new data sources. However, the additional scale of big data necessitates utilizing the newest tools, technologies, methods, and processes. The old way of approaching analysis just won’t work. It is time to evolve the world of advanced analytics to the next level. That’s what this book is about.

Taming the Big Data Tidal Wave isn’t just the title of this book, but rather an activity that will determine which businesses win and which lose in the next decade. By preparing and taking the initiative, organizations can ride the big data tidal wave to success rather than being pummeled underneath the crushing surf. What do you need to know and how do you prepare in order to start taming big data and generating exciting new analytics from it? Sit back, get comfortable, and prepare to find out!

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Praise for TAMING THE BIG DATA TIDAL WAVE
Finding Opportunities in Huge Data Streams with Advanced Analytics

"This book . . . puts the focus squarely where it belongs . . . It's primarily about the effective analysis of big data, rather than the big data management (BDM) topic per se. It starts with data and goes all the way into such topics as how to frame decisions, how to build an analytics center of excellence, and how to build an analytical culture. You will find some mentions of BDM topics, as you should. But the bulk of the content here is about how to create, organize, staff, and execute on analytical initiatives that make use of data as the input."
—From the Foreword by Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College, cofounder and Research Director, International Institute for Analytics

"This is a one-stop handbook for anyone who wants to understand what big data is and how to leverage it through advanced analytic processes and methods. Bill Franks intimately understands and describes how to create an entire analytics ecosystem intended to deliver competitive advantage."
—Stuart Aitken, CEO, dunnhumby USA

"In Taming the Big Data Tidal Wave, Bill Franks does a great job introducing both big data and the kind of analytics that will generate value from the waves of new data that are washing over companies. Easy to read and with helpful wrap-up sections in each chapter, the book avoids technical jargon without being lightweight. In this great introductory book, Bill makes a powerful case for analytic innovation and for getting started now."
—James Taylor, CEO, Decision Management Solutions and author of Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics

"In case you ever wondered why big data is providing business value in many industries, this book gives you perspectives and answers from many angles—from the tech side, to data science, to business users and processes. In my entire career of researching and lecturing on analytics, I have never encountered a book that combines the knowledge of both information technology and business managers in such a succinct way. I would recommend it to anyone whose career intersects with big data."
—Diego Klabjan, Professor at Northwestern University; Director, Master of Science in Analytics

"Bill Franks provides an entertaining and consumable take on a complex and intricate topic. The mix of insights applicable to practitioners and novices alike make this a critical read for someone new to the analytics space or to anyone in the space wanting to ensure they can learn from an accomplished leader. Franks' view across multiple industries and uses of big data have positioned him well to deliver this entry into the emergence of the space."
—Richard Maltsbarger, Senior Vice President of Strategy, Lowe's Companies, Inc.

정보제공 :

Foreword xiii  
Preface xvii
 
Acknowledgments xxv
 
PART ONE THE RISE OF BIG DATA 1
 
Chapter 1 What Is Big Data and Why Does It Matter?  3
 
What Is Big Data? 4
 
Is the “Big” Part or the “Data” Part More Important? 5
 
How Is Big Data Different? 7
 
How Is Big Data More of the Same? 9
 
Risks of Big Data 10
 
Why You Need to Tame Big Data 12
 
The Structure of Big Data 14
 
Exploring Big Data 16
 
Most Big Data Doesn’t Matter 17
 
Filtering Big Data Effectively 20
 
Mixing Big Data with Traditional Data 21
 
The Need for Standards 22
 
Today’s Big Data Is Not Tomorrow’s Big Data 24
 
Wrap-Up 26
 
Notes 27
 
Chapter 2 Web Data: The Original Big Data  29
 
Web Data Overview 30
 
What Web Data Reveals 36
 
Web Data in Action 42
 
Wrap-Up 50
 
Note 51
 
Chapter 3 A Cross-Section of Big Data Sources and the Value They Hold  53
 
Auto Insurance: The Value of Telematics Data 54
 
Multiple Industries: The Value of Text Data 57
 
Multiple Industries: The Value of Time and Location Data 60
 
Retail and Manufacturing: The Value of Radio Frequency Identification Data 64
 
Utilities: The Value of Smart-Grid Data 68
 
Gaming: The Value of Casino Chip Tracking Data 71
 
Industrial Engines and Equipment: The Value of Sensor Data 73
 
Video Games: The Value of Telemetry Data 76
 
Telecommunications and Other Industries: The Value of Social Network Data 78
 
Wrap-Up 82
 
PART TWO TAMING BIG DATA: THE TECHNOLOGIES, PROCESSES, AND METHODS  85
 
Chapter 4 The Evolution of Analytic Scalability  87
 
A History of Scalability 88
 
The Convergence of the Analytic and Data Environments 90
 
Massively Parallel Processing Systems 93
 
Cloud Computing 102
 
Grid Computing 109
 
MapReduce 110
 
It Isn’t an Either/Or Choice! 117
 
Wrap-Up 118
 
Notes 119
 
Chapter 5 The Evolution of Analytic Processes  121
 
The Analytic Sandbox 122
 
What Is an Analytic Data Set? 133
 
Enterprise Analytic Data Sets 137
 
Embedded Scoring 145
 
Wrap-Up 151
 
Chapter 6 The Evolution of Analytic Tools and Methods 153
 
The Evolution of Analytic Methods 154
 
The Evolution of Analytic Tools 163
 
Wrap-Up 175
 
Notes 176
 
PART THREE TAMING BIG DATA: THE PEOPLE AND APPROACHES  177
 
Chapter 7 What Makes a Great Analysis?  179
 
Analysis versus Reporting 179
 
Analysis: Make It G.R.E.A.T.! 184
 
Core Analytics versus Advanced Analytics 186
 
Listen to Your Analysis 188
 
Framing the Problem Correctly 189
 
Statistical Signifi cance versus Business Importance 191
 
Samples versus Populations 195
 
Making Inferences versus Computing Statistics 198
 
Wrap-Up 200
 
Chapter 8 What Makes a Great Analytic Professional?  201
 
Who Is the Analytic Professional? 202
 
The Common Misconceptions about Analytic Professionals 203
 
Every Great Analytic Professional Is an Exception 204
 
The Often Underrated Traits of a Great Analytic Professional 208
 
Is Analytics Certifi cation Needed, or Is It Noise? 222
 
Wrap-Up 224
 
Chapter 9 What Makes a Great Analytics Team?  227
 
All Industries Are Not Created Equal 228
 
Just Get Started! 230
 
There’s a Talent Crunch out There 231
 
Team Structures 232
 
Keeping a Great Team’s Skills Up 237
 
Who Should Be Doing Advanced Analytics? 241
 
Why Can’t IT and Analytic Professionals Get Along? 245
 
Wrap-Up 247
 
Notes 248
 
PART FOUR BRINGING IT TOGETHER: THE ANALYTICS CULTURE  249
 
Chapter 10 Enabling Analytic Innovation  251
 
Businesses Need More Innovation 252
 
Traditional Approaches Hamper Innovation 253
 
Defi ning Analytic Innovation 255
 
Iterative Approaches to Analytic Innovation 256
 
Consider a Change in Perspective 257
 
Are You Ready for an Analytic Innovation Center? 259
 
Wrap-Up 269
 
Note 270
 
Chapter 11 Creating a Culture of Innovation and Discovery 271
 
Setting the Stage 272
 
Overview of the Key Principles 274
 
Wrap-Up 290
 
Notes 291
 
Conclusion: Think Bigger! 293
 
About the Author 295
 
Index 297

정보제공 :