Spis treści: „DataStory: Explain Data and Inspire Action Through Story”

Spis treści publikacji pt. „DataStory: Explain Data and Inspire Action Through Story”.

Tytuł: „DataStory: Explain Data and Inspire Action Through Story”
Autor: Nancy Duarte
Wydawca: Ideapress Publishing
Data wydania: 2019-09-17
Język: Angielski
Liczba stron: 240

Spis treści

Spis treści / Table of contents

Contents

Introduction

Understand the Science of Story / 3

Transform Numbers into Narratives / 5

Communicate Data to Lead / 7

Invest Time in Communication Skills / 9

Embrace the Power of Story / 11

SECTION 1 | Communicate Data to Others

1. Becoming a Communicator of Data

Invest in Data Communication Skills / 17

Explain Data Through Storytelling / 19

Become Like the Mentor in a Story / 21

Resolve a Spectrum of Problems and Opportunities with Data / 23

Move into a Creative Process / 25

Cultivate Your Intuition / 27

1. Communicating to Decision-Makers 

Know Your Decision-Maker / 33

Respect Their Time; Executives Are Busy / 35

Know How Executives Are Measured / 37

Understand How Executives Consume Information / 39

Expect Questions and Interruptions / 41

SECTION 2 | Bring Clarity Through Story Structure

III. Crafting a Data Point of View

Formulate Your Data Point of View (DataPOV™) / 49

Understand How Great Brands Communicate with Data / 51

Choose the Most Effective Action for Your DataPOV / 53

Decipher Performance and Process Verbs / 55

Craft Actions with the Best Strategic Insight / 57

1. Structuring an Executive Summary as a DataStory

Leverage the Structure of a Story Arc / 63

Write an Executive Summary in Three Acts / 65

Change the Fortune of the Messy Middle / 67

Use Your DataPOV as the Third Act / 69

1. Creating Action Through Analytical Structure

Blend Logical and Persuasive Writing / 75

Structure a Recommendation Tree / 77

Define Actions to Support Your DataStory / 79

Motivate by Explaining Why / 81

Be Your Own Skeptic / 83

Include Assumptions by Stating „This Is True If…” / 86

Review the Components of a Recommendation Tree / 87

SECTION 3 | Make clear charts and slides

1. Choosing Charts and Writing Observations

Choose Charts Everyone Understands / 96

Write Clear Chart Tities / 97

Make Descriptive Observations / 99

Use Adjectives for Bar Charts to Observe Size / 101

Use Adjectives for Component Charts to Observe Ratios / 103

Use Adverbs for Line Charts to Observe Trends / 105

VII. Annotating insights onto Charts

Overlay Visual Annotations onto a Chart / 111

Amplify a Data Point / 113

Add Math to Data Points / 115

Make Insights Visually Consumable / 117

VIII. Building a Skimmable Slidedoc

Build a Recommendation as a Slidedoc / 123

Think of Slidedoc as a Visual Book / 125

Organize Content to Be Readable / 127

Deviate from Standard Format for Emphasis / 129

Emphasize Text That Must Be Read / 131

Review the Anatomy of a Recommendation Tree / 133

Review a Slidedoc as a Recommendation Tree / 135

SECTION 4 | Make data stick

1. Marvelling at the Magnitude

Attach the Data to Something Relatable / 143

Develop a Sense of Scale / 145

Connect Data to Relatable Size / 147

Connect Data to Relatable Time / 149

Connect Data to Relatable Things / 151

Express How You Feel About the Data / 153

1. Humanizing Data

Meet the Hero and Adversary of the Data / 159

Know the Adversary in the Data / 161

Address the Conflict in the Data / 163

Speak with the Characters / 165

Share Context to Add Meaning to Data / 167

Save Lines with Data I Case Study: Dr. Rosallnd Picard / 169

1. Storytelling with Data

Leverage the Temporal Dimension When Presenting Data / 179

Reveal Hidden Data / 181

Reveal Hidden Data I Case Stud: Al. Gore / 186

Tell a Story with an Emotional Are. Case Study: Kurt Vonnegut / 187

Data Confirms and Emotional Are in Stories / 191

Reverse III Fortune into a Cinderella Arc I Case Study: Internal All – Hands Meeting / 196

Charity: Water Storytelling with Data I Case Study: Scoot Harrison / 197

SUMMARY / 205

APPENDIX

Move the Narrative Forward / 209

Speed Up Decision – Making with a One – Page Reconvendation Tree / 211

References / 213

Photo Credits / 216

Index / 217

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