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6 Hacks For Communicating Your Data Science Findings To A Non-Technical Audience
Data is bogus; the insights they contain are no less bogus.
Data science findings are a mishmash of numbers and require quintillion mental connections to be understood.
They are the nightmares of non-technical minds.
Even nightmarish to those who need the findings to make important decisions.
The failure of data scientists to communicate findings to these people sets them up like Jedis from a distant galaxy. It feels good to be alien, but not being able to communicate findings defeats the de jure aim of data science.
An insight you failed to communicate can’t lead to better decision-making.
Here are 5 ways to put everybody on a level playing field when you’re communicating your findings:
Stories make the world go round
Rather than spit facts and figures like an overzealous toaster, try beginning with a story.
You don’t need to be a Shakespeare-level storyteller to do this. In most cases, the story of your data science project is the only Romeo and Juliet you’d need to tell.
- The problem you were trying to solve
- The data you used
