Who You Gonna Call if Your Data Science is Lost in Translation?

There was once a business executive who kept coming home troubled and distracted. His partner asked him one evening, “What’s the matter? Something’s worrying you.”. “There’s so much data”, he replied, “and I can’t understand it or get my head around it.” “You could try hiring a data scientist”, suggested his partner. So he did just that. Six months later he was still coming home troubled, and when his partner inquired again what was up, he replied: “There’s so much data, and I can’t understand what my data scientist is telling me about it”.

Decision makers need more math

Decision makers in the year 2020 will be facing many more data driven documents and charts than they did 10 or 20 years prior. But are those decision makers any better equipped to make accurate decisions in such a data rich environment?

Beware of ‘storytelling’ in data and analytics

As I read various articles and advice on ‘storytelling’, I see a dangerous trend that encourages individuals away from a research-based approach and runs the risk of major organizations taking erroneous decisions based on a glossy but often inaccurate version of the facts.