How to turn data into actionable insights?

Pragmatic data scientists can turn simple data into actions for the entire team, by pushing hard on two simple principles. I demonstrate that process with a simple example.

Much more importantly than any specific techniques, this content is about the principles, how much we keep pushing, and the tradeoffs we make. Those are the core of tables, charts, visualizations, and presentations.

Hope I illustrated these principles well, and next time, you can apply these two principles to your work and get actions and applauses from your stakeholders.

Let me know if you have any feedbacks or if you'd like to see more tips!

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Gestalt's theories for vis, call-to-actions to be a practical ds, and domain-specific assumptions that drive the analysis (e.g., prioritize increasing CVRs), etc.
There's much gold summarized in this video!!!