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Section I: Introduction
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Section I: Introduction
by Kathy Williams Chiang, Andrew Roman Wells
Monetizing Your Data
Cover
Title Page
Copyright
Dedication
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
Velocity
Predictive and Explanatory Models
Machine Learning
Chapter 10: Data Development: Making It Organized
Data Quality
Dirty Data, Now What?
Data Types
Data Organization
Data Transformation
Summary
Chapter 11: Guided Analytics: Making It Relevant
So, What?
Guided Analytics
Summary
Chapter 12: User Interface (UI): Making It Clear
Introduction to UI
The Visual Palette
Less Is More
With Just One Look
Gestalt Principles of Pattern Perception
Putting It All Together
Summary
Chapter 13: User Experience (UX): Making It Work
Performance Load
Go with the Flow
Modularity
Propositional Density
Simplicity on the Other Side of Complexity
Summary
Section V: Enablement
Chapter 14: Agile Approach: Getting Agile
Agile Development
Riding the Wave
Agile Analytics
Summary
Chapter 15: Enablement: Gaining Adoption
Testing
Adoption
Summary
Chapter 16: Analytical Organization: Getting Organized
Decision Architecture Team
Decision Architecture Roles
Subject Matter Experts
Analytical Organization Mindset
Section VI: Case Study
Case Study: Michael Andrews Bespoke
Discovery
Decision Analysis Phase
Monetization Strategy, Part I
Agile Analytics
Monetization Strategy, Part II
Guided Analytics
Closing
Bibliography
Index
End User License Agreement
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Chapter 1: Introduction
SECTION I
INTRODUCTION
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