Stop Being Objective when Presenting Data

When we analyze data, we do so precisely - in a detail-oriented, scientific way so that our results are “objective”, unbiased, and reproducible. Unfortunately this approach cannot be used when presenting data. In this video I explain why leaders need our presentations to be subjective: to state an expert opinion. If we don’t say why the data matters and what people need to do about it clearly, we’re no better than a generic, AI-generated summary.
This is a clip from my episode on Jan-Willem Middleburg’s Big Data Talks show. Check out the full episode here: • Christopher Chin: Data...
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Does this sound familiar:
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Transcript:
What I also believe is that we as data storytellers can be equally as confident saying our perspective as we are saying the disclaimers, and caveats, and nuances. That we have to do both. Because as a data storytellers I'm not going to show you everything in the data set when I visualize it. To the example you just gave, I'm just going to point out very specific things that I've noticed that I want you to notice. And because I've done that, I've excluded a lot of other stuff. So it's my responsibility to tell you: "Hey I'm... I'm highlighting this but also be aware that... of all the implications of that. That are, you have to be careful about the interpretation." So I believe that for us to be ethical data storytellers we have to do both those things: what we believe, and also all the pros and cons and things that people should be aware of
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