Details

Big Data, Big Innovation


Big Data, Big Innovation

Enabling Competitive Differentiation through Business Analytics
Wiley and SAS Business Series 1. Aufl.

von: Evan Stubbs

38,99 €

Verlag: Wiley
Format: EPUB
Veröffentl.: 02.07.2014
ISBN/EAN: 9781118925522
Sprache: englisch
Anzahl Seiten: 256

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

<b>A practical guide to leveraging your data to spur innovation and growth</b> <p>Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth – you just need the proper analytics. In <i>Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics</i>, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation.</p> <p><i>Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics</i> details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth.</p> <ul> <li>Build an effective analytics team, and empower them with the right tools</li> <li>Learn how big data drives both evolutionary and revolutionary innovation, and who should be responsible</li> <li>Identify data collection and analysis opportunities and implement action plans</li> <li>Design the platform that suits your company's current and future needs</li> <li>Quantify performance with statistics, programming, and research for a more complete picture of operations</li> </ul> <p>Effective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, <i>Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics</i> can show you how to use what you already have and acquire what you need to succeed.</p>
<p>Preface xi</p> <p>Acknowledgments xvii</p> <p><b>Part One May You Live in Interesting Times 1</b></p> <p><b>Chapter 1 Lead or Get Out of the Way 3</b></p> <p>The Future is Now 3</p> <p>The Secret is Leadership 5</p> <p>Notes 7</p> <p><b>Chapter 2 Disruption as a Way of Life 9</b></p> <p>The Age of Uncertainty 10</p> <p>The Emergence of Big Data 15</p> <p>Rise of the Rōnin 21</p> <p>The Knowledge Rush 26</p> <p>Systematized Chaos 31</p> <p>Notes 36</p> <p><b>Part Two Understanding Culture and Capability 41</b></p> <p><b>Chapter 3 The Cultural Imperative 47</b></p> <p>Intuitive Action 48</p> <p>Truth Seeking 55</p> <p>Value Creation 62</p> <p>Functional Innovation 69</p> <p>Revolutionary Disruption 75</p> <p>Notes 78</p> <p><b>Chapter 4 The Intelligent Enterprise 79</b></p> <p>Level 1: Unstructured Chaos 80</p> <p>Level 2: Structured Chaos 84</p> <p>Levels 3–5: The Intelligent Enterprise 89</p> <p>Notes 93</p> <p><b>Part Three Making It Real 95</b></p> <p><b>Chapter 5 Organizational Design 101</b></p> <p>What Should It Look Like? 102</p> <p>What Should It Focus On? 107</p> <p>What Services Can It Offer? 111</p> <p>What Data Does It Need? 116</p> <p>Note 124</p> <p><b>Chapter 6 Operating Models 125</b></p> <p>What’s the Goal? 127</p> <p>What’s the Enabler? 135</p> <p>How Does It Create Value? 140</p> <p>Notes 148</p> <p><b>Chapter 7 Human Capital 149</b></p> <p>What Capabilities Do I Need? 150</p> <p>How Do I Get the Right People? 157</p> <p>How Do I Keep Them? 162</p> <p>Notes 164</p> <p><b>Part Four Making It Happen 167</b></p> <p><b>Chapter 8 Innovating with Dynamic Value 169</b></p> <p>The Innovation Cycle 170</p> <p>The Innovation Paradox 172</p> <p>The Secret to Success: Dynamic Value 176</p> <p>The Innovation Engine 181</p> <p>Reinventing the Rōnin 185</p> <p>Notes 189</p> <p><b>Chapter 9 Creating a Plan 191</b></p> <p>Starting the Conversation 191</p> <p>Defining the Vision 193</p> <p>Identifying Opportunities 196</p> <p>Mapping Responsibilities 198</p> <p>Taking It to the Next Level 201</p> <p>Note 201</p> <p>Conclusion: The Final Chapter is Up to You 203</p> <p>Glossary 205</p> <p>About the Author 219</p> <p>Index 221</p>
<p><b>EVAN STUBBS</b> is the Chief Analytics Officer for SAS Australia/New Zealand and a board member of the Institute of Analytics Professionals of Australia. He has driven innovation within General Motors, transformed organizations into analytical competitors, and advises leadership teams globally on how to survive the upcoming storm.
<p>We live in interesting times–we've never been so data rich yet insight poor. We're so awash in data that we've invented new computing paradigms and systems merely to keep pace. The new normal is strange, and the disruption big data analytics implies will shake industry, society, and even our day-to-day lives. <p>Businesses that embrace this new way of thinking will survive. Those that don't will perish. In this epoch of rapid change, failure to capitalize on the value that lies in data is perilous–the future is now and it demands action. <i>Big Data, Big Innovation: Enabling Competitive Differentiation through Business Analytics</i> brings an urgent voice to the need for businesses to embrace a new way of thinking and provides practical instructions on using big data analytics to support innovation throughout your organization. <p>Evan Stubbs illuminates big data analytics like no one else does. With an insider's view into the reality of what businesses are doing and what is possible with the right approach, Stubbs links big data to innovation and differentiation. This groundbreaking approach will help IT managers and executives learn faster, act faster, act smarter, and more to compete and survive. <p>Taking a hands-on approach, this playbook addresses not only the practicalities of big data and analytics but also the culture that needs to exist to be successful. Answering the questions often asked, this guide outlines how to identify opportunities, assemble teams and hire new specialists, cultivate the proper mindset to create a corporate incubator for data analytics progress and success, and design solutions that work in the real world. <p>With its step-by-step approach to the massive undertaking of making big data a differentiator, the book addresses every major consideration throughout the process. Further guidance is provided once the corporate culture and programs have reached maturity to ensure continued success and the proper approach to sustaining a competitive edge.

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