Monetizing your data : a guide to turning data into profit-driving strategies and solutions

Cover -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgments -- About the Authors -- Section I: Introduction -- Chapter 1: Introduction -- Decisions -- Analytical Journey -- Solving the Problem -- The Survey Says… -- How to Use This Book -- Let's Start -- Chapter 2: Analytical Cycle: Driving Quality Decisions -- Analytical Cycle Overview -- Hierarchy of Information User -- Next Steps -- Chapter 3: Decision Architecture Methodology: Closing the Gap -- Methodology Overview -- Discovery -- Decision Analysis -- Monetization Strategy -- Agile Analytics -- Enablement -- Summary -- Section II: Decision Analysis -- Chapter 4: Decision Analysis: Architecting Decisions -- Category Tree -- Question Analysis -- Key Decisions -- Data Needs -- Action Levers -- Success Metrics -- Category Tree Revisited -- Summary -- Section III: Monetization Strategy -- Chapter 5: Monetization Strategy: Making Data Pay -- Business Levers -- Monetization Strategy Framework -- Decision Analysis and Agile Analytics -- Competitive and Market Information -- Summary -- Chapter 6: Monetization Guiding Principles: Making It Solid -- Quality Data -- Be Specific -- Be Holistic -- Actionable -- Decision Matrix -- Grounded in Data Science -- Monetary Value -- Confidence Factor -- Measurable -- Motivation -- Organizational Culture -- Drives Innovation -- Chapter 7: Product Profitability Monetization Strategy: A Case Study -- Background -- Business Levers -- Discovery -- Decide -- Data Science -- Monetization Framework Requirements -- Decision Matrix -- Section IV: Agile Analytics -- Chapter 8: Decision Theory: Making It Rational -- Decision Matrix -- Probability -- Prospect Theory -- Choice Architecture -- Cognitive Bias -- Chapter 9: Data Science: Making It Smart -- Metrics -- Thresholds -- Trends and Forecasting -- Correlation Analysis -- Segmentation -- Cluster Analysis.