Big Data Insurance Marketing Analytics Statistics 
Occam's Razor
MARCH 30, 2017
It’s implications are far and wide, even in the narrow scope that I live in (marketing, analytics, influence). All this data, across tens of millions of identified signals to deliver a deeply unique message to humans that mattered the most – at scale. Students must learn how to turn data into knowledge. Thirty points.
Andrew White
JANUARY 11, 2021
As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change.
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