Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dave Goodsmith, Data Scientist, Datascience Inc.

594 views

Published on

How can our data make the biggest impact? How do we find the stories worth sharing buried in our analytics? How important are visuals, hooks, connections, content? As data science and journalism have co-evolved, the potential for effectively communicating with data has skyrocketed. We'll look at case studies of impactful data stories and share the process for developing data stories that drive action.

Published in: Technology
  • Be the first to comment

Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dave Goodsmith, Data Scientist, Datascience Inc.

  1. 1. Data Storytelling for Impact A Case-Study Approach to Best Practices for Successful Data-Driven Communication
  2. 2. Outline ● Why Data Storytelling? ● The Framework ● Examples ● Your Data Stories
  3. 3. Why Data Storytelling
  4. 4. Framework
  5. 5. Anatomy of a Successful Data Story ● Origination ● Data Diving ● Story Weaving ● Impact
  6. 6. Origination
  7. 7. Origination ● Ideation: Where did the idea come from? When was the 'aha' moment for the project? ● Resolve: When, and how, did the decision get made to move forward with the project? ● Target Impact: What was the ultimate public or organizational impact, or impacts, that the project intended to make?
  8. 8. Data Diving
  9. 9. Data Diving ● Data Collection: What was the source of the data? How was the data collected? What unexpected challenges or opportunities arose during the data collection process? ● Data Analysis: How was the data analyzed? Who did the analysis?
  10. 10. Storyweaving
  11. 11. Story Weaving ● Narrative: How were insights drawn from the data? How was the narrative crafted? What were the narrative goals? ● Design: Is the data portrayed visually? Narratively? Both? What were the formats of the end product, and why? ● Press: How was the story communicated to the press? Unintentionally? Methodically?
  12. 12. Impact
  13. 13. Impact ● Launch: How was the story ultimately launched? ● Response: What was the impact of the story?
  14. 14. Examples
  15. 15. Your Data Stories
  16. 16. Thank you!

×