Mastering Dense Data Visualization | Present to Succeed 2022 by Ann Emery

Ann K. Emery
Founder & Data Visualization Designer at Depict Data Studio

How do you transform overwhelming data into clear, memorable presentations? In this insightful session, Ann Emery—internationally acclaimed data visualization expert and founder of Depict Data Studio—shares her proven strategies for presenting dense data without losing your audience.
Discover how to move beyond “death by PowerPoint” and make your data stories engaging and actionable. Ann reveals practical techniques for breaking up complex charts, using color and contrast, and designing slides that guide your audience’s attention. Learn why more slides (not fewer) can actually help, how to work backwards from your final message, and why everyday tools like PowerPoint and Excel are all you need.
Key takeaways include:
How to break up dense data visualizations for presentations
The power of direct labeling, color contrast, and icons
When to use animation vs. multiple slides
Tips for collaborating and designing for teams
Advice for novice and advanced presenters alike
Ann also answers audience questions on Google Slides, add-ins, and best practices for making your data accessible and impactful. Whether you’re a data professional, designer, or anyone who presents information, this session will help you elevate your next presentation.
👇 What’s your biggest challenge with data visualization? Share your thoughts in the comments.
#DataVisualization #PresentationDesign #AnnEmery #PresentToSucceed #SlideDesign #Storytelling #PublicSpeaking #DepictDataStudio


00:00 - Introduction & Speaker Welcome
01:01 - Why Presenting Dense Data Matters
03:15 - Breaking Up Complex Data for Presentations
05:47 - Example 1: Transforming a Dense Table into Visual Slides
10:59 - Example 2: Bar Charts, Targets, and Storytelling Techniques
17:32 - Example 3: Stacked Column Charts & Direct Labeling
23:56 - Q&A: Tools, Collaboration, and Presenter Tips
29:18 - Final Thoughts & How to Connect with Ann
31:39 - Session Wrap-Up & Next Steps



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