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Mind+Machine

Mind+Machine

          
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About the Book

Decision-makers need the right insight at the right time in the right format, particularly given today's flow of constant information and data. Mind-only is too slow and too costly. Machine-only rarely delivers the insights needed. Mind+Machine is a modeled guide to making the best decisions possible. You'll discover how to overcome your biggest strategic obstacles, by achieving the right mindset, focusing on the right data, automating the right processes, creating the right workflow, and more. The book is a navigator for decision-makers in today's quickly developing world of information overload. Special Features Table of Content Preface Acknowledgments List of Use Cases Part I: The Top 12 Fallacies about Mind + Machine Fallacy #1: Big Data Solves Everything Fallacy #2: More Data Means More Insight Fallacy #3: First, We Need a Data Lake and Tools Fallacy #4: Analytics Is Just an Analytics Challenge: Part I: The Last Mile Fallacy #5: Analytics Is Just an Analytics Challenge: Part II: The Organization Fallacy #6: Reorganizations Won't Hurt Analytics Fallacy #7: Knowledge Management Is Easy--We Just Need Some Wikis Fallacy #8: Intelligent Machines Can Solve Any Analytic Problem Fallacy #9: Everything Must Be Done In-House! Fallacy #10: We Need More, Larger and Fancier Reports Fallacy #11: Analytics Investment Means Great ROI Fallacy #12: Analytics Is a Rational Process Part I: Conclusion Part II: 13 Trends Creating Massive Opportunities for Mind + Machine Trend #1: The Asteroid Impact of Cloud and Mobile Trend #2: The Yin and Yang of the Internet of Things Trend #3: One-to-One Marketing Trend #4: Regulatory Flooding of the Ring of Knowledge The European Union and Privacy Rules: The General Data Protection Regulation and the EU--US Privacy Shield The Teeth of the General Data Protection Regulation Privacy Impacting the Ring of Knowledge The Nine Questions You Need to Ask Your CIO Regarding Personal Data Trend #5: The Seismic Shift to Pay-as-You-Go or Output-Based Commercial Models Trend #6: The Hidden Treasures of Multiple-Client Utilities Trend #7: The Race for Data Assets, Alternative Data and Smart Data Trend #8: Marketplaces and the Sharing Economy Finally Arriving in Data and Analytics Trend #9: Knowledge Management 2.0--Still an Elusive Vision? Trend #10: Workflow Platforms and Process Automation for Analytics Use Cases Trend #11: 2015--2025: The Rise of the Mind--Machine Interface Trend #12: Agile, Agile, Agile Trend #13: (Mind + Machine) 2 = Global Partnering Equals More Than 1+1 Era 1: Pure Geographic Cost Arbitrage (2000--2005) Era 2: Globalizing Outsourcing (2005--2015) Era 3: Process Reengineering (2007--2015) and Specialization 184 Era 4: Hybrid On-Site, Near-Shore and Far-Shore Outsourcing (2010--) Era 5: Mind + Machine in Outsourcing (2010--) Pricing and Performance Benchmarks The Future of Outsourcing in Knowledge-Intensive Processes Part II: Conclusion Part III: How to Implement the Mind + Machine Approach The Analytics Use Case Methodology: A Change in Mind-Set Perspective #1: Focus on the Business Issue and the Client Benefits Perspective #2: Map Out the Ring of Knowledge Perspective #3: Choose Data Wisely Based on the Issue Tree Perspective #4: The Efficient Frontier Where Machines Support Minds Perspective #5: The Right Mix of Minds Means a World of Good Options Perspective #6: The Right Workflow ow: Flexible Platforms Embedded in the Process Perspective #7: Serving the End Users Well: Figuring Out the Last Mile Perspective #8: The Right User Interaction: The Art of User Experience Perspective #9: Integrated Knowledge Management Means Speed and Savings Perspective #10: The Commercial Model: Pay-as-You-Go or Per-Unit Pricing Perspective #11: Intellectual Property: Knowledge Objects for Mind + Machine Perspective #12: Create an Audit Trail and Manage Risk Perspective #13: The Right Psychology: Getting the Minds to Work Together Perspective #14: T


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Product Details
  • ISBN-13: 9788126566143
  • Publisher: Wiley
  • Binding: Hardcover
  • Language: English
  • Weight: 521.63 gr
  • ISBN-10: 8126566140
  • Publisher Date: 2016
  • Height: 22.098 mm
  • No of Pages: 320
  • Width: 158 mm

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