Smart Data Visualizations: Quality Assessment Algorithm

The gap between a bad and good data visualization is small.

The gap between a good and great data visualization is a vast chasm!

The challenge is that we, and our HiPPOs, bring opinions and feelings and our perceptions of what will go viral to the conversation. This is entirely counter productive to distinguishing between bad, good, and great.

What we need instead is a rock solid understanding of the updraft we face in our quest for greatness, and a standard framework that can help us dispassionately assess quality.

Let’s do that today. Learn how to seperate bad from good and good from great, and do so using examples that…

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Responses to Negative Data: Four Senior Leadership Archetypes.

Not everything a company does works out.

(That is different from everything that a company is doing not working out. :))

If you are in the data business – my bread, butter and tofu – you often carry the burden of being the bearer of bad news.

The conversion rate is down 30% at launch.

The goal was to deliver a 30% increase in revenue, the team delivered 1.7953%.

During 2019, our Net Promoter Score has dropped 15 points.

The average length of our video ads is 30 seconds, less than 10% of the audiences watches beyond 5 seconds and 90% is exposed to less than 1 second.

Our Market…

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