Del 49 - Wiley and SAS Business Series

Taming The Big Data Tidal Wave

Finding Opportunities in Huge Data Streams with Advanced Analytics

Inbunden, Engelska, 2012

459 kr

Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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!

Produktinformation

Utgivningsdatum2012-04-27
Mått158 x 231 x 31 mm
Vikt544 g
FormatInbunden
SpråkEngelska
SerieWiley and SAS Business Series
Antal sidor336
FörlagJohn Wiley & Sons Inc
MedarbetareDavenport,ThomasH.
ISBN9781118208786

Tillhör följande kategorier

Ledarskap och motivation inom Ekonomi och ledarskap

BILL FRANKS is the Chief Analytics Officer for Teradata, where he provides insight on trends in the analytics and big data space and helps organizations implement their analytics effectively. In addition, Bill is a faculty member of the International Institute for Analytics and is an active speaker and blogger. His consulting work has spanned many industries for companies ranging from Fortune 100 companies to small non-profits.

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