Value Driven Data Science

Episode 82: Why You Should Start Your Data Projects with Pictures Not Data

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Show notes

Most data scientists follow the same predictable process: gather requirements, collect data, build models, and only at the very end create visualisations to communicate results. This traditional approach seems logical, but what if it's actually working against us? 

In this episode, David Cohen joins Dr. Genevieve Hayes to reveal how flipping the script on data visualisation - moving it to the beginning of projects rather than the end - can dramatically improve stakeholder buy-in and project success rates.

This episode reveals:

  1. Why the traditional bottom-up data communication approach often misses the mark [02:36]
  2. How moving visual storytelling to the start of a project can transform stakeholder engagement [06:40]
  3. The gamified workshop framework that turns requirement gathering into collaborative problem-solving [08:50]
  4. The counterintuitive first step that immediately improves data project outcomes [20:28]

Guest Bio

David Cohen is a data and AI strategy consultant, with a background in supporting the F500 clients of both Big 4 and boutique consulting firms. He is the founder of Superposition, a consulting firm that builds collaborative workshops focused on data & AI-related use cases.

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