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Présentation Analytics de Simon, Phil Format Relié
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Résumé : Preface: The Power of Dynamic Data xvii List of Figures and Tables xxvii Introduction: It Didn't Used to Be This Way 1 A Little History Lesson 2 Analytics and the Need for Speed 5 Book Scope, Approach, and Style 9 Intended Audience 12 Plan of Attack 13 Next 14 Notes 14 Part One Background and Trends 17 Chapter 1 Signs of the Times: Why Data and Analytics Are Dominating Our World 19 The Moneyball Effect 20 Digitization and the Great Unbundling 22 Amazon Web Services and Cloud Computing 24 Not Your Father's Data Storage 26 Moore's Law 28 The Smartphone Revolution 28 The Democratization of Data 29 The Primacy of Privacy 29 The Internet of Things 31 The Rise of the Data-Savvy Employee 31 The Burgeoning Importance of Data Analytics 32 Data-Related Challenges 40 Companies Left Behind 41 The Growth of Analytics Programs 42 Next 43 Notes 43 Chapter 2 The Fundamentals of Contemporary Data: A Primer on What It Is, Why It Matters, and How to Get It 45 Types of Data 46 Getting the Data 52 Data in Motion 61 Next 63 Notes 63 Chapter 3 The Fundamentals of Analytics: Peeling Back the Onion 65 Defining Analytics 66 Types of Analytics 69 Streaming Data Revisited 72 A Final Word on Analytics 74 Next 75 Notes 75 Part Two Agile Methods and Analytics 77 Chapter 4 A Better Way to Work: The Benefits and Core Values of Agile Development 79 The Case against Traditional Analytics Projects 80 Proving the Superiority of Agile Methods 82 The Case for Guidelines over Rules 84 Next 88 Notes 88 Chapter 5 Introducing Scrum: Looking at One of Today's Most Popular Agile Methods 89 A Very Brief History 90 Scrum Teams 91 User Stories 94 Backlogs 97 Sprints and Meetings 98 Releases 101 Estimation Techniques 102 Other Scrum Artifacts, Tools, and Concepts 109 Next 112 Chapter 6 A Framework for Agile Analytics: A Simple Model for Gathering Insights 113 Perform Business Discovery 115 Perform Data Discovery 117 Prepare the Data 118 Model the Data 120 Score and Deploy 127 Evaluate and Improve 128 Next 130 Notes 130 Part Three Analytics in Action 131 Chapter 7 University Tutoring Center: An In-Depth Case Study on Agile Analytics 133 The UTC and Project Background 134 Project Goals and Kickoff 136 Iteration One 139 Iteration Two 140 Iteration Three 145 Iteration Four 146 Results 147 Lessons 148 Next 148 Chapter 8 People Analytics at Google/Alphabet: Not Your Father's HR Department 149 The Value of Business Experiments 150 PiLab's Adventures in Analytics 151 A Better Approach to Hiring 153 Staffing 156 The Value of Perks 158 Results and Lessons 162 Next 162 Notes 163 Chapter 9 The Anti-Google: Beneke Pharmaceuticals 165 Project Background 166 Business and Data Discovery 167 The Friction Begins 168 Astonishing Results 169 Developing Options 171 The Grand Finale 172 Results and Lessons 173 Next 174 Chapter 10 Ice Station Zebra Medical: How Agile Methods Solved a Messy Health-Care Data Problem 175 Paying Nurses 176 Enter the Consultant 178 User Stories 179 Agile: The Better Way 182
Biographie: PHIL SIMON is a frequent keynote speaker and recognized technology authority. He is the award-winning author of eight management books. He consults organizations on analytics, communications, strategy, data, and technology. His contributions have been featured in the Harvard Business Review, the New York Times, and on Fox News, and many other sites. He teaches analytics, system design, and business intelligence at Arizona State University's W. P. Carey School of Business. @philsimon
#agileanalytics
www.philsimon.com...
Sommaire: For years, organizations have struggled to make sense out of their data. IT projects designed to provide employees with dashboards, KPIs, and business-intelligence tools often take a year or more to reach the finish line...if they get there at all. This has always been a problem. Today, though, it's downright unacceptable. The world changes faster than ever. Speed has never been more important. By adhering to antiquated methods, firms lose the ability to see nascent trends-and act upon them until it's too late. But what if the process of turning raw data into meaningful insights didn't have to be so painful, time-consuming, and frustrating? What if there were a better way to do analytics? Fortunately, you're in luck... Analytics: The Agile Way is the eighth book from award-winning author and Arizona State University professor Phil Simon. Analytics: The Agile Way?demonstrates how progressive organizations such as Google, Nextdoor, and others approach analytics in a fundamentally different way. They are applying the same Agile techniques that software developers have employed for years. They have replaced large batches in favor of smaller ones...and their results will astonish you. Through a series of case studies and examples, Analytics: The Agile Way demonstrates the benefits of this new analytics mind-set: superior access to information, quicker insights, and the ability to spot trends far ahead of your competitors.
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