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In today’s data science environment of Big Data, ML, AI, The Cloud, and all sorts of other hype, Excel sure is looking like a chump. However, I would argue that Excel still very much has a place, even in modern, “data-driven” companies. That place is one of rapidly prototyping applications with end-users to provide insights and deliverables that they can begin using today. A teammate and I recently created a novel mathematical framework for logistics capacity that ended up giving leadership the ...