You don't need to be a data scientist to assess the disruptive impact of COVID-19. But it's nice when the facts support the intuition. Analysing payments data is a useful place to start.
Comparing Apples with Pangolins: The Case of the Missing Deaths and the Perils of Big Data
One of the many lessons learned from the COVID-19 is that sourcing data and creating amazing visualisations is the (relatively) easy part of data science. Ensuring you're comparing apples with apples and telling the story is a different kettle of fish.
Necessity Is The Mother of Invention
There are many risk management tools to help manage a crisis but are they used when the crisis hits? And does it matter?
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