Data Storytelling

Masterclass

Dr. Greg Chism

U of A College of Information Science

Storytelling

Why storytelling?

• Epic of Gilgamesh (c. 2100 BC)

• First known “hero’s journey”

• Goal: Apply storytelling to your visuals

Data Storytelling

Data Storytelling

• 📌 Why
• 📌 Core Elements
• 📌 Best Practices

• Bridges data and decision-making

• Engages audiences with narrative-driven insights

• Makes complex information memorable and actionable

• Data → Accurate, relevant, and well-structured

• Narrative → Clear, compelling, and audience-driven

• Visuals → Effective charts, interactive graphics, and design

• Keep it simple → One clear message per visualization

• Use annotations → Guide the audience’s attention

• Test with others → Ensure clarity and engagement

Case Study 1:
AI’s Impact on Industry Revenue

Case Study 2:
AI Mentions in Company Reports

Case Study 3:
Stock Price Movements & AI Events

Case Study 4:
Vaccination Trends

Case Study 5:
Mexican American Representation in Sports

Data Storytelling

• 📌 Techniques
• 📌 Common Pitfalls to Avoid

• Focus on key takeaways → Avoid unnecessary details

• Use comparisons → Before vs. after, trends, or categories

• Highlight surprises → What’s unexpected or counterintuitive?

• Make it relatable → Frame data within a human-centered context

Thank You 😊
Questions??