Finding Opportunities in Huge Data Streams with Advanced Analytics
E-Book, Englisch, 336 Seiten, E-Book
Reihe: SAS Institute Inc
ISBN: 978-1-118-22866-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
As you drive to the store to buy the computer bundle, you get anoffer for a discounted coffee from the coffee shop you are gettingready to drive past. It says that since you're in the area,you can get 10% off if you stop by in the next 20minutes....
As you drink your coffee, you receive an apology from themanufacturer of a product that you complained about yesterday onyour Facebook page, as well as on the company's website....
Finally, once you get back home, you receive notice of a specialarmor upgrade available for purchase in your favorite online videogame. It is just what is needed to get past some spotsyou've been struggling with....
Sound crazy? Are these things that can only happen in thedistant future? No. All of these scenarios are possible today! Bigdata. Advanced analytics. Big data analytics. It seems youcan't escape such terms today. Everywhere you turn people arediscussing, writing about, and promoting big data and advancedanalytics. Well, you can now add this book to the discussion.
What is real and what is hype? Such attention can lead one tothe suspicion that perhaps the analysis of big data is somethingthat is more hype than substance. While there has been a lot ofhype over the past few years, the reality is that we are in atransformative era in terms of analytic capabilities and theleveraging of massive amounts of data. If you take the time to cutthrough the sometimes-over-zealous hype present in the media,you'll find something very real and very powerful underneathit. With big data, the hype is driven by genuine excitement andanticipation of the business and consumer benefits that analyzingit will yield over time.
Big data is the next wave of new data sources that will drivethe next wave of analytic innovation in business, government, andacademia. These innovations have the potential to radically changehow organizations view their business. The analysis that big dataenables will lead to decisions that are more informed and, in somecases, different from what they are today. It will yield insightsthat many can only dream about today. As you'll see, thereare many consistencies with the requirements to tame big data andwhat has always been needed to tame new data sources. However, theadditional scale of big data necessitates utilizing the newesttools, technologies, methods, and processes. The old way ofapproaching analysis just won't work. It is time to evolvethe world of advanced analytics to the next level. That'swhat this book is about.
Taming the Big Data Tidal Wave isn't just the titleof this book, but rather an activity that will determine whichbusinesses win and which lose in the next decade. By preparing andtaking the initiative, organizations can ride the big data tidalwave to success rather than being pummeled underneath the crushingsurf. What do you need to know and how do you prepare in order tostart taming big data and generating exciting new analytics fromit? Sit back, get comfortable, and prepare to find out!
Weitere Infos & Material
Foreword
Preface
Acknowledgments
Part One The Rise of Big Data
Chapter 1 What Is Big Data and Why Does It Matter?
What Is "Big Data"?
Is the "Big" Part or the "Data" Part More Important?
How Is Big Data Different?
How Is Big Data More of the Same?
Risks of Big Data
Why You Need to Tame Big Data
The Structure of Big Data
Exploring Big Data
Most Big Data Doesn't Matter
Filtering Big Data Effectively
Mixing Big Data with Traditional Data
The Need for Standards
Today's Big Data Is Not Tomorrow's Big Data
Wrap Up
Notes
Chapter 2 Web Data: The Original Big Data
Web Data Overview
What Web Data Reveals
Web Data in Action
Wrap Up
Note
Chapter 3 A Cross-Section of Big Data Sources
Auto Insurance: Telematics Data
Multiple Industries: Text Data
Multiple Industries: Time and Location Data
Retail and Manufacturing: Radio Frequency Identification Data
Utilities: Smart Grid Data
Gaming: Casino Chip Tracking Data
Industrial Engines and Equipment: Sensor Data
Video Games: Telemetry Data
Telecommunications and Other Industries: Social Network Data
Wrap Up
Part Two Taming Big Data: The Technologies, Processes, and Methods
Chapter 4 Evolution of Analytic Scalability
A History of Scalability
Convergence of the Analytic and Data Environments
Massively Parallel Processing Systems
Cloud Computing
Grid Computing
MapReduce
It Isn't an Either / Or Choice!
Wrap Up
Notes
Chapter 5 The Evolution of Analytic Processes
The Analytic Sandbox
What Is an Analytic Data Set?
Enterprise Analytic Data Sets
Embedded Scoring
Wrap Up
Chapter 6 Evolution of Analytic Tools and Methods
Evolution of Analytic Tools
Evolution of Analytic Methods
Wrap-Up
Notes
Part Three Taming Big Data: The People and Approaches
Chapter 7 What Makes a Great Analysis?
Analysis versus Reporting
Analysis: Make It "G.R.E.A.T."!
"Core" Analytics versus "Advanced" Analytics
Listen to Your Analysis
Framing the Problem Correctly
Statistical Significance versus Business Importance
Samples versus Populations
Making Inferences versus Computing Statistics
Wrap Up
Chapter 8 What Makes a Great Analyst?
The Common Misconceptions
Every Great Analyst Is an Exception
The Often Underrated Traits of a Great Analyst
Is Analytics Certification Needed or Is It Noise?
Wrap Up
Chapter 9 What Makes a Great Analytics Team?
All Industries Are Not Created Equal
Just Get Started!
There's a Talent Crunch Out There
Team Structures
Keeping a Great Team's Skills Up
Should Non-Analysts Be Doing Advanced Analytics?
Why Can't IT and Analysts Get Along?
Wrap Up
Notes
Part Four Bringing It Together: The Analytics Culture
Chapter 10 Enabling Analytic Innovation
Businesses Need More Innovation
Traditional Approaches Hamper Innovation
Defining Analytic Innovation
Iterative Approaches to Analytic Innovation
Consider a Change in Perspective
Are You Ready for an Analytic Innovation Center?
Wrap Up
Note
Chapter 11 Creating a Culture of Innovation and Discovery
Setting the Stage
Overview of the Key Principles
Wrap Up
Notes
Conclusion: Think Bigger!
About the Author
Index
