Wentworth
Institute of Technology
Effective Data Storytelling : How to Drive Change with Data, Narrative and Visuals.
Master the art and science of data storytelling'with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today's economy; it is a necessity. Transforming data into visual communication is only o...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Newark :
John Wiley & Sons, Incorporated,
2019.
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| Online Access: |
Full text (Wentworth users only) |
Table of Contents:
- Intro; Effective Data Storytelling; Contents; Foreword; Preface; Acknowledgments; Chapter 1 Introduction to Driving Change through Insight; Why Change Is Important; Everyone Becomes an Analyst; Data Literacy Is Essential in Today's Data Economy; What Is an Insight?; Effective Communication Turns Insights into Actions; Data-driven Change Isn't Easy; Strive to Communicate, Not Just Inform; Telling the Story of Your Data; References; Chapter 2 Why Tell Stories with Data?; Humans Are Storytelling Creatures; Stories Beat Statistics; Three Essential Elements of Data Stories
- Driving Action with Data StoriesWhy Your Insights Need Narrative and Visuals; References; Chapter 3 The Psychology of Data Storytelling; Most Decisions Are Not Based on Logic; How We React to Facts; How We React to Stories; Data Stories Bridge Logic and Emotion; What Could Semmelweis Have Done Differently?; References; Chapter 4 The Anatomy of a Data Story; The Six Essential Elements of a Data Story; Element 1: Data Foundation; Element 2: Main Point; Element 3: Explanatory Focus; Element 4: Linear Sequence; Element 5: Dramatic Elements; Element 6: Visual Anchors
- Data Stories Come in All Shapes and SizesEvery Data Story Needs a Storyteller; Know Your Audience before Telling Your Story; When It Makes Sense to Craft Data Stories and When It Doesn't; References; Chapter 5 Data: The Foundation of Your Data Story; Examine the Building Blocks of Your Data Stories; Relevance; Trustworthiness; Every Data Story Needs a Central Insight; Do You Have an Actionable Insight?; The Analysis Process: Exploration to Explanation; Data Forgery #1: The Data Cut; Data Forgery #2: The Data Cameo; Data Forgery #3: The Data Decoration
- Analyzing and Communicating Data Demands DisciplineConfirmation Bias; Survivorship Bias; Curse of Knowledge; Correlation Fallacy; Texas Sharpshooter Fallacy; Hasty Generalization Fallacy; When Too Much of a Good Thing Is Bad; References; Chapter 6 Narrative: The Structure of Your Data Story; Defining a Narrative Model for Data Stories; Fleshing Out Your Narrative with Story Points; Storyboarding Your Data Story; Step 1: Identify Your Aha Moment; Step 2: Find Your Beginning (the Hook and Setting); Step 3: Select Your Rising Insights; Step 4: Empower Your Audience to Act
- When They Want Just the FactsUncovering the Heroes in Your Data Story; How Conflict Amplifies the Impact of Your Data Narrative; Make Your Ideas More Digestible with Analogies; References; Chapter 7 Visuals (Part 1): Setting the Scenes of Your Data Story; Human Perception and Our Innate Pattern-seeking Abilities; Facilitating Meaningful Comparisons with Visuals; Principle #1: Visualize the Right Data; Principle #2: Choose the Right Visualizations; Familiarity versus Novelty; Principle #3: Calibrate the Visuals to Your Message; End of Part I: The Scenes Are Set; References