Storytelling with Data: A Data Visualization Guide for Business Professionals
By Cole Nussbaumer Knaflic · John Wiley & Sons · 2015
Study guide: Exam PCPA
A book on the fundamentals of data visualization and on communicating effectively with data by telling a story with it. In its publisher's words, it teaches how to understand the importance of context and audience, determine the appropriate type of graph, recognize and eliminate clutter, direct the audience's attention to the most important parts of the data, think like a designer, and use storytelling so a message resonates. Wiley published the paperback in November 2015 (288 pages).
On the syllabus
- Exam PCPA — objectives C1–C3 (Domain C, Model Interpretation and Presentation); the outline cites the whole book, 1st edition, as a book to be purchased (B).
Foreword
Acknowledgments
About the Author
Introduction
1 The Importance of Context
- Exploratory vs. explanatory analysis
- Exploratory analysis is what you do to understand the data and find what might be noteworthy; explanatory analysis has a specific thing to explain, and the book focuses on explanatory analysis and communication.
- Who, what, and how
- Before visualizing any data, be clear on to whom you are communicating and what you want them to know or do; only then turn to how data can help make the point.
- Who
- Your audience
- You
- What
- Action
- Mechanism
- Tone
- How
- Who, what, and how: illustrated by example
- Consulting for context: questions to ask
- The 3-minute story and Big Idea
- 3-minute story
- Big Idea
- The Big Idea boils the "so-what" down to a single sentence that articulates your unique point of view and conveys what's at stake.
- Storyboarding
- A storyboard is a visual outline establishing the structure of the communication; start low tech, with a whiteboard, Post-it notes or paper, rather than in presentation software.
- In closing
2 Choosing an Effective Visual
3 Clutter Is Your Enemy!
4 Focus Your Audience's Attention
5 Think Like a Designer
6 Dissecting Model Visuals
7 Lessons in Storytelling
8 Pulling It All Together
9 Case Studies
10 Final Thoughts
Bibliography
Index
Sources
- Storytelling with Data — contents (Wiley, PDF) — the book's contents page: front matter, the ten chapter titles and the back matter, in order
- Storytelling with Data — Chapter 1 (Wiley, PDF) — the text of Chapter 1: its section headings and the points under them
- Storytelling with Data: A Data Visualization Guide for Business Professionals (Wiley) — the publisher's record: ISBN 978-1-119-00225-3, November 2015, 288 pages, and the description
- Open Library edition record, ISBN 9781119002253 — the chapter titles in title case, corroborating the ten chapters
- CAS PCPA Content Outline v.8, updated 9.9.2026 — the citation (1st edition, John Wiley & Sons, 2015), the domain and the source type