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Home > Business and Economics > Business and Management > Management and management techniques > Knowledge management > Mind+Machine: A Decision Model for Optimizing and Implementing Analytics
Mind+Machine: A Decision Model for Optimizing and Implementing Analytics

Mind+Machine: A Decision Model for Optimizing and Implementing Analytics


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About the Book

Cut through information overload to make better decisions faster Success relies on making the correct decisions at the appropriate time, which is only possible if the decision maker has the necessary insights in a suitable format. Mind+Machine is the guide to getting the right insights in the right format at the right time to the right person. Designed to show decision makers how to get the most out of every level of data analytics, this book explores the extraordinary potential to be found in a model where human ingenuity and skill are supported with cutting-edge tools, including automations. The marriage of the perceptive power of the human brain with the benefits of automation is essential because mind or machine alone cannot handle the complexities of modern analytics. Only when the two come together with structure and purpose to solve a problem are goals achieved. With various stakeholders in data analytics having their own take on what is important, it can be challenging for a business leader to create such a structure. This book provides a blueprint for decision makers, helping them ask the right questions, understand the answers, and ensure an approach to analytics that properly supports organizational growth. Discover how to: Harness the power of insightful minds and the speed of analytics technology Understand the demands and claims of various analytics stakeholders Focus on the right data and automate the right processes ·         Navigate decisions with confidence in a fast-paced world The Mind+Machine model streamlines analytics workflows and refines the never-ending flood of incoming data into useful insights. Thus, Mind+Machine equips you to take on the big decisions and win.

Table of Contents:
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

About the Author :
MARC VOLLENWEIDER is co-founder and CEO of Evalueserve, an industry- influencing global research, analytics, and data management solutions provider known for its mind+machine™ process that combines a global network of expert analysts and best-in-class technology. The McKinsey & Co. alum has extensive consulting experience in such industries as telecommunications, banking, and pharmaceuticals.


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Product Details
  • ISBN-13: 9781119302971
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: Standards Information Network
  • Language: English
  • Sub Title: A Decision Model for Optimizing and Implementing Analytics
  • ISBN-10: 1119302978
  • Publisher Date: 14 Oct 2016
  • Binding: Digital (delivered electronically)
  • No of Pages: 320


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