Transform your data stories with storytelling with data: before and after—coming September 2025
Summary
The book "storytelling with data: before and after," co-authored by Cole Nussbaumer Knaflic, Mike Cisneros, and Alex Velez, is set for release in September 2025. This guide offers practical lessons for enhancing data communications through a visual-makeover teaching style. It features 20 real-world examples from leading companies, demonstrating before-and-after transformations of visual communications. The book details the reasoning, strategies, and techniques behind each makeover, providing blueprints for converting graphs into persuasive, decision-driving stories. It also outlines step-by-step thought processes from the authors and offers practical strategies for improving dashboards, emails, infographics, charts, and presentations, building upon principles from previous bestsellers in the "storytelling with data" series.
Key takeaway
For data analysts or business professionals tasked with communicating insights, you should consider exploring "storytelling with data: before and after." This resource can provide concrete strategies and visual examples to refine your presentations, ensuring your data stories are clear, persuasive, and drive actionable decisions, regardless of your current experience level.
Key insights
Effective data communication transforms raw visuals into persuasive, decision-driving narratives.
Principles
- Visual makeovers enhance data clarity.
- Real-world examples illustrate effective strategies.
Method
The book employs a visual-makeover teaching style, presenting 20 before-and-after examples with detailed reasoning, strategies, and techniques for transforming various data visualizations.
In practice
- Apply blueprints to create data stories.
- Improve dashboards, emails, and charts.
Topics
- Data Storytelling
- Data Visualization
- Data Communication
- Visual Makeovers
Best for: Data Analyst, Business Analyst, Marketing Professional
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Editorial summary, takeaway, and curation by AIssential. Original article published by datadoubleconfirm.