Taming The Big Data Tidal Wave Finding Opportunities in Huge Data Streams with Advanced Analytics
by Franks, Bill; Davenport, Thomas H.Edition: 1st
Format: Hardcover
Pub. Date: 2012-04-24
Publisher(s): Wiley
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Summary
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.
Author Biography
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
| Foreword | p. xiii |
| Preface | p. xvii |
| Acknowledgments | p. xxv |
| The Rise of Big Data | p. 1 |
| What is Big Data and Why Does It Matter? | p. 3 |
| What is Big Data? | p. 4 |
| Is the "Big" Part or the "Data" Part More Important? | p. 5 |
| How is Big Data Different? | p. 7 |
| How Is Big Data More of the Same? | p. 9 |
| Risks of Big Data | p. 10 |
| Why You Need to Tame Big Data | p. 12 |
| The Structure of Big Data | p. 14 |
| Exploring Big Data | p. 16 |
| Most Big Data Doesn't Matter | p. 17 |
| Filtering Big Data Effectively | p. 20 |
| Mixing Big Data with Traditional Data | p. 21 |
| The Need for Standards | p. 22 |
| Today's Big Data Is Not Tomorrow's Big Data | p. 24 |
| Wrap-Up | p. 26 |
| Notes | p. 27 |
| web Data: The Original Big Data | p. 29 |
| Web Data Overview | p. 30 |
| What Web Data Reveals | p. 36 |
| Web Data in Action | p. 42 |
| Wrap-Up | p. 50 |
| Note | p. 51 |
| A Cross-Section of Big Data Sources and the Value They Hold | p. 53 |
| Auto Insurance: The Value of Telematics Data | p. 54 |
| Multiple industries: The Value of Text Data | p. 57 |
| Multiple Industries: The Value of Time and Location Data | p. 60 |
| Retail and Manufacturing: The Value of Radio Frequency Identification Data | p. 64 |
| Utilities: The Value of Smart-Grid Data | p. 68 |
| Gaming: The Value of Casino Chip Tracking Data | p. 71 |
| Industrial Engines and Equipment: The Value of Sensor Data | p. 73 |
| Video Games: The Value of Telemetry Data | p. 76 |
| Telecommunications and Other Industries: The Value of Social Network Data | p. 78 |
| Wrap-Up | p. 82 |
| Taming Big Data: The Technologies, Processes, and Methods | p. 85 |
| The Evolution of Analytic Scalability | p. 87 |
| A History of Scalability | p. 88 |
| The Convergence of the Analytic and Data Environments | p. 90 |
| Massively Parallel Processing Systems | p. 93 |
| Cloud Computing | p. 102 |
| Grid Computing | p. 109 |
| MapReduce | p. 110 |
| It Isn't an Either/Or Choice! | p. 117 |
| Wrap-Up | p. 118 |
| Notes | p. 119 |
| The Evolution of Analytic Processes | p. 121 |
| The Analytic Sandbox | p. 122 |
| What Is an Analytic Data Set? | p. 133 |
| Enterprise Analytic Data Sets | p. 137 |
| Embedded Scoring | p. 145 |
| Wrap-Up | p. 151 |
| The Evolution of Analytic Tools and Methods | p. 153 |
| The Evolution of Analytic Methods | p. 154 |
| The Evolution of Analytic Tools | p. 163 |
| Wrap-Up | p. 175 |
| Notes | p. 176 |
| Taming Big Data: The People and Approaches | p. 177 |
| What Makes a Great Analysis? | p. 179 |
| Analysis versus Reporting | p. 179 |
| Analysis: Make It G.R.E.A.T.! | p. 184 |
| Core Analytics versus Advanced Analytics | p. 186 |
| Listen to Your Analysis | p. 188 |
| Framing the Problem Correctly | p. 189 |
| Statistical Significance versus Business Importance | p. 191 |
| Samples versus Populations | p. 195 |
| Making Inferences versus Computing Statistics | p. 198 |
| Wrap-Up | p. 200 |
| What Makes a Great Analytic Professional? | p. 201 |
| Who Is the Analytic Professional? | p. 202 |
| The Common Misconceptions about Analytic Professionals | p. 203 |
| Every Great Analytic Professional Is an Exception | p. 204 |
| The Often Underrated Traits of a Great Analytic Professional | p. 208 |
| Is Analytics Certification Needed, or Is It Noise? | p. 222 |
| Wrap-Up | p. 224 |
| What Makes a Great Analytics Team? | p. 227 |
| All Industries Are Not Created Equal | p. 228 |
| Just Get Started! | p. 230 |
| There's a Talent Crunch out There | p. 231 |
| Team Structures | p. 232 |
| Keeping a Great Team's Skills Up | p. 237 |
| Who Should Be Doing Advanced Analytics? | p. 241 |
| Why Can't IT and Analytic Professionals Get Along? | p. 245 |
| Wrap-up | p. 247 |
| Notes | p. 248 |
| Bringing it Together: The Analytics Culture | p. 249 |
| Enabling Analytic innovation | p. 251 |
| Businesses Need More Innovation | p. 252 |
| Traditional Approaches Hamper innovation | p. 253 |
| Defining Analytic innovation | p. 255 |
| Iterative Approaches to Analytic Innovation | p. 256 |
| Consider a Change in Perspective | p. 257 |
| Are You Ready for an Analytic Innovation Center? | p. 259 |
| Wrap-Up | p. 269 |
| Note | p. 270 |
| Creating a Culture of Innovation and Discovery | p. 271 |
| Setting the Stage | p. 272 |
| Overview of the Key Principles | p. 274 |
| Wrap-Up | p. 290 |
| Notes | p. 291 |
| Conclusion: Think Bigger! | p. 293 |
| About the Author | p. 295 |
| Index | p. 297 |
| Table of Contents provided by Ingram. All Rights Reserved. |
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