Storytelling for Data Scientists

That the most ancient forms of communication can be heavily commoditized, speaks to the essential nature of storytelling today. No matter how much data we keep producing each year, our need to tell stories to a human audience (business stakeholders) with a view to understanding the implications of the data around us is what will help us succeed. My goal at MRIA was to harness some of the best insights from a good range of market research professionals to meet the educational and professional needs of our membership through this webinar embedded below.

Storytelling for Data Scientists was held on the 08th of July. View the entire recording above.

Starring the following experts:

  1. Laura Warren, Storylytics
  2. Richard Boire, Boire Analytics
  3. Susan Shu Chang, Clearbanc
  4. Dr. Robert Vagi, Phase 5

We might have come a long way in understanding predictive analytics as a top-down priority and merging our right and left brains to achieve greater and more granular consumer understanding. However, a lot of researchers and firms approach storytelling differently. The variety of thought leadership in this space sheds light on audience-centricity, demystifying buzzwords in data science, achieving relevance through contextual storytelling (less industry jargon more clarity on technique), making the client the hero of your journey. Asking the right questions at each step of the story, helps us achieve the knowledge we need to solve the right problem, as we connect, collate, harness , narrate, influence, reframe — depending on where we are in our client / audience journeys. Here’s to more powerful storytelling in our professions and in our lives.

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