Successfully reported this slideshow.

What makes a data-story work?

6

Share

Upcoming SlideShare
Diagrams Preso
Diagrams Preso
Loading in …3
×
1 of 27
1 of 27

What makes a data-story work?

6

Share

Download to read offline

Stories have been recognized for their power of communication & persuasion for centuries and we need to operate at that intersection of data, visual and stories to fully harness the power of data. Online journalism has already started to show the path but we need to develop the science of data-story to get them widely adopted in business. We used a case study based approach to map the four different layers in a data-story: See - Show - Tell - Engage. We developed a framework of key dimensions within each of these layers and then rigorously analyzed 25 carefully selected case-studies to see which elements were being employed in the data-story. We focused not only on the dimensions of data abstraction and visual representation, framing and transition but also on the dimensions of story structure, point-of-view, relatability and engagement through emotions, takeaways and interaction. Our framework indicates generic strategies that can be used for effective data-stories using exploratory and explanatory visualization in personal and presentation context.

Stories have been recognized for their power of communication & persuasion for centuries and we need to operate at that intersection of data, visual and stories to fully harness the power of data. Online journalism has already started to show the path but we need to develop the science of data-story to get them widely adopted in business. We used a case study based approach to map the four different layers in a data-story: See - Show - Tell - Engage. We developed a framework of key dimensions within each of these layers and then rigorously analyzed 25 carefully selected case-studies to see which elements were being employed in the data-story. We focused not only on the dimensions of data abstraction and visual representation, framing and transition but also on the dimensions of story structure, point-of-view, relatability and engagement through emotions, takeaways and interaction. Our framework indicates generic strategies that can be used for effective data-stories using exploratory and explanatory visualization in personal and presentation context.

More Related Content

Related Books

Free with a 14 day trial from Scribd

See all

What makes a data-story work?

  1. 1. What makes a data-story work? Amit Kapoor Kavitha Ranganathan
  2. 2. Emotion & Empathy I am blind
  3. 3. Emotion & Empathy It is spring & I am blind
  4. 4. Persuasion Logos + Ethos + Pathos
  5. 5. Data-Story-Visual Data Story Tale Graph * Art Visual
  6. 6. Synthesis -Visualise-Story analysis | SYNTHESIS numbers | VISUALISE argument | STORY
  7. 7. Narrative is Powerful Source: Pitch Interactive
  8. 8. logic | EMPATHY
  9. 9. Data & Stories The focus of stories is on individual people rather than averages, on motives rather than movements, on point of view rather than the view from nowhere, context rather than raw data.
  10. 10. Storytelling Triangle Story Teller Listener
  11. 11. Visualization ˌvɪʒʊəlaɪˈzeɪʃən (noun) Derived from the Latin verb videre, "to look, to see" The act or instance to The act or instance to form a mental image or make visible or visual picture (without an (with an object) object)
  12. 12. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
  13. 13. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
  14. 14. Data-Story Framework See the Data Show the Visual Tell the Story Engage the Audience
  15. 15. See the Data Pattern Trend Data Abstraction Deviation Outlier
  16. 16. Show the Visual Framing Medium & Visual Representation Transition
  17. 17. Tell the Story Ordering & Structure TRF JQL ZEF LXR Messaging (Verbal & Text) RGT DEF VWX DFR Point of View & Relatability
  18. 18. Engage the Audience Takeaway ZEF LXR TRF JQL Emotion RGT DEF VWX DFR Interactivity
  19. 19. Single Frame Dominates Source: Walmart & Target Store Expansion
  20. 20. Establish & Focus Source: OECD Better Life
  21. 21. Stories through Annotation Source: Napolean’s Campaign
  22. 22. Power of Verbal Messaging Source: Hans Rosling | Joy of Stats
  23. 23. Idea-driven Mileu-driven Character-driven Event-driven
  24. 24. Build your own story Source: Working Capital Profiler
  25. 25. Emotions are key Source: Wealth Inequality
  26. 26. Think Stories “I think people have begun to forget how powerful human stories are, exchanging their sense of empathy for a fetishistic fascination with data, networks, patterns, and total information... Really, the data is just part of the story. The human stuff is the main stuff, and the data should enrich it." —Jonathan Harris
  27. 27. Amit Kapoor Partner, narrativeVIZ Consulting amit@narrativeviz.com @amitkaps Kavitha Ranganathan Asst. Professor, IIM Ahmedabad kavitha@iimahd.ernet.in

×