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Actuarial modelers need to ensure that all the components of their model are right before they depend on model outputs for business decisions. This article provides tips and strategies to help modelers uncover potential errors within and avoid problems in the future.
It seems like “data storytelling” is all the rage these days. A quick Google search (in early 2020) returns over 100 million results. Even more popular, “effective data visualization” checks in at over 192 million possibilities. You’ve no doubt seen the numerous vendors, certifications, on-line communities, books, consultants, and trainings you can harness to improve […]
