Data Storytelling and Translation: Bridging the Gap Between Numbers and Narratives

Cover
Title
Copyrightpage
Contents
Prologue
Acknowledgments
Chapter 1 The Age of the Data Translator
	Curiosity
	Empathy
	Trustworthiness
	Who is This Book For?
	How This Book is Laid Out and What to Expect
Chapter 2 All Decisions Start With People
	Start Understanding People by Looking Inward First
	Understanding Incentives and Biases
	Understanding, Engaging, and Communicatin With Your Customer
		Sample Survey from Talent Management to Hiring Manager Customer
	References
Chapter 3 Start With Good Questions and Great Listening
	The Importance of Good Questions
	The Definition of a Good Question
	How to Ask Good Questions
		Asking the Right Customer
		Create the Right Setting
		Asking in the Right Time and Place
		Defuse With Your Questions
		Body Language and Tone
	Listening: Being Heard by Being a Great Listener
		Focus
		Understand
		Respond
	References
Chapter 4 Being Fluent in the Language of Data
	Everything Starts With Understanding the Data
	Structured versus Unstructured Data
		Categorical versus Numerical Data
		Clean versus Messy Data
	Statistics Is the Language of Understanding Data
		Descriptive Statistics
			Central Tendency
			Variability
			Correlation
		Inferential Statistics
	The Superpower of Analytics and Data Science
		Types of Analytics
		Foundational Analytics Concepts
			Artificial Intelligence
			Machine Learning
			Specific versus General Artificial Intelligence
			Classification versus Regression
			Supervised versus Unsupervised Learning
	It’s All About the Data
	Data and Analytics as Services
	The Tension Between Transparency and Performance
	Perpetual Model Bias
	References
Chapter 5 Identify, Understand, and Frame Problems
	Identifying Problems Means Understanding Pain
	Problem-Ask-Value Framework
		Understand the Problem
		Understand the Question
		Understand the Value
	Reframing Problems
	References
Chapter 6 Simplifying Insights Through Metrics  and Objectives
	What Is the Purpose?
		Communicate Priorities
		Align People and Processes
		Show Progress
		Motivate Behavior
		Define Expectations
		Reduce Uncertainty
		Leading and Lagging Metrics
		Efficiency, Effectiveness, and Outcome Metrics
		Upward and Downward Metrics
	Who is the Audience?
		Sales Activity Metric Example
		Customer Experience Metric Example
	How Do You Communicate?
		Initial Communication
		Ongoing Communication
	Who Is the Target?
		Accuracy versus Precision
		Operationalizing Metrics
	References
Chapter 7 Painting Your Data Story
	Data Story Canvas Introduction
	Data Story Topic
		Delivering Your Data Story
	The Audience
		The Existing Narrative
		What They Need to Know
	The Hook
		Keep: Holding Their Attention
		Compel: The Call to Action
	The Data Source
	The Tradeoffs
	Your Confidence
	Data Story Canvas Example
Chapter 8 everaging Visuals to Share 
Insights and Compel Action
	The Purpose of Data Visualization
		Exploratory Data Visualization
		Data Visualization as Storytelling
	Principles of Good Data Visualization
		Picking the Right Chart
		Tables Are Not Evil
	Harnessing the Power of Size, Angle, and Position
		Size
		Angle
		Position
	The Power of Color
		Color Usage
		Context Correct Color
		Color Consistency
		Number of Different Colors
		Intensity of Color
		Categorical versus Continuous Color
		Colorblind-Friendly
	Text in a Data Visualization
		Summaries
		Titles
		Legends
		Axis Labels
		Data Labels
		Annotations
	Consistency
	Format
	Source
	Trends and References
	Don’t Overdo It
	Gestalt Principles
	Moving Beyond Design and Communicating Data Visualizations
		Prioritize the Meaning
		Ask Questions to Engage
		Get Second and Third Opinions
		Avoid Check-the-Box Visualizations
		Layer Your Visualization
		Show Your Work and Get Detailed
		Build Trust Through Data Visualization
	References
Chapter 9 Leveraging Dashboards 
in Your Communication
	Dashboard Best Practices
		Provide the What, Why, and Now What
		Be Consistent
		Follow the Z-Pattern
		Balance Interactivity
		Don’t Shy Away From Text
		Make Sure the Data Source is Obvious
		Defaults Matter
	Dashboard Lifecycle
		Beginning
		Middle
		End
	Dashboards and Storytelling
	References
Chapter 10 Communicating Your Data Story
	An Introduction to the Data Story Checklist
		Be Authentically You
		Test and Verify
		Be Vulnerable
		Eliminate Roadblocks in Advance
		Engage Often and Early
		Be Transparent and Ethical
		Be Confident and Humble
		Be Prepared to Improvise
		Lead With a Story Backed by Data and Visuals
		Consider the Right Person
	Data Story Checklist
	Developing Your Communication Skills
		Meetup Groups / Professional Association
		Contributing Author
		Improvisational Theater
		Toastmasters International
	Conclusion
	References
Epilogue
	Top 20 Podcasts for Data Translators
	Top 20 Books for Data Translators
Index