Mind+Machine

Preface xi
<p>Acknowledgments xvii</p>
<p>List of Use Cases xix</p>
<p>Part I: The Top 12 Fallacies about Mind+Machine 1</p>
<p>Fallacy #1: Big Data Solves Everything 3</p>
<p>Fallacy #2: More Data Means More Insight 17</p>
<p>Fallacy #3: First, We Need a Data Lake and Tools 26</p>
<p>Fallacy #4: Analytics Is Just an Analytics Challenge: Part I: The Last Mile 31</p>
<p>Fallacy #5: Analytics Is Just an Analytics Challenge: Part II: The Organization 36</p>
<p>Fallacy #6: Reorganizations Won t Hurt Analytics 40</p>
<p>Fallacy #7: Knowledge Management Is Easy We Just Need Some Wikis 45</p>
<p>Fallacy #8: Intelligent Machines Can Solve Any Analytic Problem 49</p>
<p>Fallacy #9: Everything Must Be Done In–House! 61</p>
<p>Fallacy #10: We Need More, Larger, and Fancier Reports 66</p>
<p>Fallacy #11: Analytics Investment Means Great ROI 72</p>
<p>Fallacy #12: Analytics Is a Rational Process 78</p>
<p>Part I: Conclusion 82</p>
<p>Part II: 13 Trends Creating Massive Opportunities for Mind+Machine 85</p>
<p>Trend #1: The Asteroid Impact of Cloud and Mobile 87</p>
<p>Trend #2: The Yin and Yang of the Internet of Things 96</p>
<p>Trend #3: One–to–One Marketing 105</p>
<p>Trend #4: Regulatory Flooding of the Ring of Knowledge 111</p>
<p>The European Union and Privacy Rules: The General Data Protection Regulation and the EU US Privacy Shield 114</p>
<p>The Teeth of the General Data Protection Regulation 115</p>
<p>Privacy Impacting the Ring of Knowledge 120</p>
<p>The Nine Questions You Need to Ask Your CIO Regarding Personal Data 121</p>
<p>Trend #5: The Seismic Shift to Pay–as–You–Go or Output–Based Commercial Models 123</p>
<p>Trend #6: The Hidden Treasures of Multiple–Client Utilities 133</p>
<p>Trend #7: The Race for Data Assets, Alternative Data, and Smart Data 136</p>
<p>Trend #8: Marketplaces and the Sharing Economy Finally Arriving in Data and Analytics 144</p>
<p>Trend #9: Knowledge Management 2.0 Still an Elusive Vision? 147</p>
<p>Trend #10: Workfl ow Platforms and Process Automation for Analytics Use Cases 156</p>
<p>Trend #11: 2015 2025: The Rise of the Mind Machine Interface 164</p>
<p>Trend #12: Agile, Agile, Agile 172</p>
<p>Trend #13: (Mind+Machine)2 = Global Partnering Equals More Than 1+1 177</p>
<p>Era 1: Pure Geographic Cost Arbitrage (2000 2005) 178</p>
<p>Era 2: Globalizing Outsourcing (2005 2015) 180</p>
<p>Era 3: Process Reengineering (2007 2015) and Specialization 184</p>
<p>Era 4: Hybrid On–Site, Near–Shore, and Far–Shore Outsourcing (2010 ) 184</p>
<p>Era 5: Mind+Machine in Outsourcing (2010 ) 185</p>
<p>Pricing and Performance Benchmarks 190</p>
<p>The Future of Outsourcing in Knowledge–Intensive Processes 194</p>
<p>Part II: Conclusion 196</p>
<p>Part III: How to Implement the Mind+Machine Approach 197</p>
<p>The Analytics Use Case Methodology: A Change in Mind–Set 198</p>
<p>Perspective #1: Focus on the Business Issue and the Client Benefits 207</p>
<p>Perspective #2: Map Out the Ring of Knowledge 214</p>
<p>Perspective #3: Choose Data Wisely Based on the Issue Tree 218</p>
<p>Perspective #4: The Effi cient Frontier Where Machines Support Minds 226</p>
<p>Perspective #5: The Right Mix of Minds Means a World of Good Options 232</p>
<p>Perspective #6: The Right Workfl ow: Flexible Platforms Embedded in the Process 241</p>
<p>Perspective #7: Serving the End Users Well: Figuring Out the Last Mile 245</p>
<p>Perspective #8: The Right User Interaction: The Art of User Experience 250</p>
<p>Perspective #9: Integrated Knowledge Management Means Speed and Savings 257</p>
<p>Perspective #10: The Commercial Model: Pay–as–You–Go or Per–Unit Pricing 264</p>
<p>Perspective #11: Intellectual Property: Knowledge Objects for Mind+Machine 266</p>
<p>Perspective #12: Create an Audit Trail and Manage Risk 269</p>
<p>Perspective #13: The Right Psychology: Getting the Minds to Work Together 271</p>
<p>Perspective #14: The Governance of Use Case Portfolios: Control and ROI 274</p>
<p>Perspective #15: Trading and Sharing Use Cases, Even across Company Boundaries 279</p>
<p>Part III: Conclusion 281</p>
<p>Notes 283</p>
<p>About the Author 287</p>
<p>Index 289</p>