The Journey of Discovery

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I think that's a problem with the any analytic kind of type two or something that you can have used. And so we'll say a lot. What we typically see from people is that it's like, okay, I want to improve my weight in times in the hospital. And so therefore I want to build a simulation of the entire hospital and they just want to make it so complicated. They want it to answer every possible question we might have in five years or ten years. So yes, and you know, in myologies of doing consulting that some of the kind of the hardest parts is just getting people down to that, that one question and that they're trying to answer.

When it comes to simulation, we're all really asking the same question: are we living in one? Alas! We did not tackle that on this episode. Instead, with Julie Hoyer as a guest co-host while Moe is on leave, we were joined by Frances Sneddon, the CTO of Simul8, to dig into some of the nuts and bolts of simulation as a tool for improving processes. It turns out that effectively putting simulations to use means focusing on some of the same foundational aspects of effectively using analytics, data science, or experimentation: clearly defining the problem, tapping into the domain experts to actually understand the process or scenario of focus, and applying some level of "art" to complement the science of the work! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.