Synopses & Reviews
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!
Written in an informal style, by someone who has lived analytics in big business, this provides a “from the trenches” viewpoint of analytics. This book shows how Big Data is changing the world of analytics; what people, processes, and mindsets are necessary to succeed in analytics; what trends are developing that will change how businesses do analytics as Big Data alters the scale of the inputs and growing requirements change the scale of the outputs; how to think bigger in terms of what analytics can do for a business; how analytics has evolved in the past decades and how it will continue to evolve in the coming decades; some of the key changes within the tools and technologies used for analytics and how they’ve changed the game already, with more to come; and what leading companies are doing to ensure innovation in analytics is occurring within their organizations.
How to approach creating and evolving a world-class advanced analytics ecosystem in today's big data environment
Written in an informal style by someone who has lived analytics in big business, Taming the Big Data Tidal Wave provides a "from the trenches" viewpoint of analytics. This book shows how big data is changing the world of analytics; what people, processes, technologies, and mindsets are necessary to succeed in analytics in this new era; what trends are developing that will change how businesses do analytics as big data alters the scale of the inputs and growing requirements change the scale of the outputs; and how to think bigger in terms of what analytics can do for a business.
- Looks at what big data is and why it's important
- Examines some of the types of big data and how can they be used to drive new, innovative analytics
- Offers the tools and technologies required to tame big data
- Reveals the analytic processes and methods needed to bring about change
- Discusses how yourcan organization set itself up for successful analytic innovation
This important book reveals how analytics has evolved in the past decades and how it will continue to evolve in the coming decades. The big data tidal wave is coming. Organizations can either ride the wave to drive analytical innovation and improve their businesses, or they can get dragged under it as it crashes on top of them. This book provides a roadmap for riding the wave successfully in terms that anyone with an interest in the topic will be able to understand.
Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics
Big data is sprouting up everywhere. Leveraging it today will drive competitive advantage; ignoring it puts your organization at risk of lagging behind the competition. To keep your edge razor-sharp, you must aggressively pursue capturing and analyzing these new data sources to extract the insights that they offer . . . starting today! Taming the Big Data Tidal Wave provides you with the tools, processes, and methods you need to tackle big data and cultivate a culture of innovation and discovery in your organization.
With its unique focus on the effective analysis of these increasingly popular data sources, Taming the Big Data Tidal Wave shows you step by step how to design, incorporate, and profit from a world-class advanced analytics ecosystem in today's big data environment. Author and analytics expert Bill Franks shares his "from the trenches" perspective to show you how big data is changing the world of analytics. He maps out an easy-to-follow action plan to help your organization uncover new business opportunities, implement new business processes, and make better-informed decisions.
This user-friendly handbook explores a number of big data concepts and how they can be applied to improve your organization's analytics, including:
What is big data, why is it important, and what are its benefits?
Ten big data sources that can change your business, including web data, sensor data, text data, and others
Technologies, processes, and methods required to tame big data
The convergence of the analytic and data environments
The evolution of visual point and click interfaces, analytic point solutions, open source tools, and data visualization tools
Modern analytic approaches such as ensemble modeling, commodity models, and text analysis
What makes a great analysis, a great analytic professional, and a great analytics team?
Enabling analytic innovation through an analytic innovation center
How to create a culture of innovation and discovery in your organization
To stay ahead of the pack, you need to tackle big data today. Discover everything you need to know to improve productivity, create value, stay competitive, spot new business trends, and generate exciting analytics with Taming the Big Data Tidal Wave.
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 anglesfrom 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.
About the Author
Bill Franks is Chief Analytics Officer for Teradata's global alliance programs. Bill also oversees the Business Analytics Innovation Center, which is jointly sponsored by Teradata and SAS and focuses on helping clients pursue innovative analytics. In addition, Bill is a faculty member of the International Institute for Analytics and is an active speaker and blogger. His analytic consulting work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations.
Table of Contents
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
Chapter 2 Web Data: The Original Big Data 29
Web Data Overview 30
What Web Data Reveals 36
Web Data in Action 42
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
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
It Isn’t an Either/Or Choice! 117
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
Chapter 6 The Evolution of Analytic Tools and Methods 153
The Evolution of Analytic Methods 154
The Evolution of Analytic Tools 163
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
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
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
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
Chapter 11 Creating a Culture of Innovation and Discovery 271
Setting the Stage 272
Overview of the Key Principles 274
Conclusion: Think Bigger! 293
About the Author 295