Updates to the 3rd edition
This improved and updated edition adds three substantive updates.

• First, a new Chapter 6 presents additional case studies that illustrate complete end-to-end workflows—from data collection to final story—so readers can see the principles applied in real settings.
• Second, the bias chapter has been reorganised and extended with recent research on confirmation, selection.
• Third, short “AI Tip” call-outs show when and how current language-model tools can speed up tasks such as draft phrasing or exploratory charting

• Data Science
• Design Thinking, and
• Storytelling
• Ethics and AI

Audience

• MBA candidates, instructors, consultants
• Users of Excel, PowerBI or Tableau
• No data skills or special math skills are required

What will you learn?

1. to identify the role of a narrative in a story
2. to transform data into information
3. to synthesize knowledge
4. to apply visual thinking tools to the decision-making process
5. to select visual communication techniques to persuade
6. to detect bias

Praise from the readers

• “look at this tremendous contribution” – Juan Riquelme Díaz, Editor del Grupo Valparaíso en SoyChile.
• "I was going through the book and it looks great!" – Mauricio Zanotti, Director ONG La ruta Solar.
• "Here in Argentina the community in data science is really growing, and I love visualizations and find the way to tell the story." – Agustin Blacker.
• "Along with greeting and thanking you for such a good contribution delivered through the book I am reading (now in its translated version)." – Rosa Velasques.
• "An eye-opener" – Benjamin Jon, Wales. "A holistic approach to how to create knowledge with classic rhetoric." – Birgitta Edberg.