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