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Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics Vital Source e-bog
Bill Franks
(2012)
Taming the Big Data Tidal Wave
Finding Opportunities in Huge Data Streams with Advanced Analytics
Bill Franks og Thomas H. Davenport
(2012)
Sprog: Engelsk
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: John Wiley & Sons (Marts 2012)
- ISBN: 9781118241172
Bookshelf online: 5 år fra købsdato.
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Detaljer om varen
- Hardback: 336 sider
- Udgiver: John Wiley & Sons, Incorporated (April 2012)
- Forfattere: Bill Franks og Thomas H. Davenport
- ISBN: 9781118208786
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!
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 Significance 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 Defining 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
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