A while back while doing a presentation for some executives, I came across a methodology for creating presentations called Presentation Zen. While there are a number of principles associated with it, three outcomes really resonated with me. These are:
I realized that these are the same principles I try to apply to my analytics work. I’ve often spoken about how analytics needs to be decision-useful, and this is coming across more often now. I’m starting to see lots of analytics showing insights into the pandemic. While there are many beautiful graphs with fascinating datasets, I often find myself asking ‘So what?’
I, therefore, believe that many data scientists should try to adopt these ‘Presentation Zen’ principles into their analytics projects. I’ve tried to adapt them below, in what I call ‘Analytics Zen’.
I hope that these principles will help to align some of the thinking amongst data scientists – and help some exceptional data scientists to transcend to the next level of analytics – Analytics Zen.