Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dave Goodsmith, Data Scientist, Datascience Inc.
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The document outlines a framework for effective data storytelling, emphasizing the importance of origination, data diving, story weaving, and impact. It discusses key elements including ideation, data collection and analysis, narrative crafting, design choices, and communication strategies. The case-study approach provides examples and encourages readers to create their own data stories for impactful communication.
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Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dave Goodsmith, Data Scientist, Datascience Inc.
- 1. Data Storytelling for Impact A Case-Study Approach to Best Practices for Successful Data-Driven Communication
- 2. Outline ● Why Data Storytelling? ● The Framework ● Examples ● Your Data Stories
- 6. Framework
- 7. Anatomy of a Successful Data Story ● Origination ● Data Diving ● Story Weaving ● Impact
- 8. Origination
- 9. 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?
- 13. Data Diving
- 14. 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?
- 17. Storyweaving
- 18. 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?
- 21. Impact
- 22. Impact ● Launch: How was the story ultimately launched? ● Response: What was the impact of the story?
- 25. Examples
- 32. Thank you!