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

Mind+Machine: A Decision Model for Optimizing and Implementing Analytics -- Contents -- 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 Payas-You-Go or Outputbased 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?.