# IntroductionSeveral months ago, Minhaaj Rehman asked me questions on his podcast about a broad range of topics: data science, supply chain, economics (& wealth inequality), as well as the efficiency of the US education system. I have experience with & passion for each, but I am by no means an expert. Imposter syndrome is … [Read more…]
A common challenge with control charts: how much history should you use to create the limits? Change point detection can help and I use the Cass Freight Index to demonstrate.
Coaching can be #data driven too, we just need to think about it in the right way.
Remote work has been awesome for knowledge workers over the past year. It’s going to get even better, as long as we optimize for time and relationship over spatial proximity.
In Great By Choice, Jim Collins teaches us that there is no new normal… there is always just uncertainty and change. Predicting the future is hard. The best leaders and organizations, as such, plan for multiple futures and hedge accordingly. They plan probabilistically. One tool that can assist in scenario planning is Monte Carlo simulation. … [Read more…]
I took a course on speed reading earlier this year and began “flying” through books (flying, that is, compared to old Frank). Prior to taking this course, I would move across a page slowly, reading each word “aloud” in my head. I would move line by line, carefully contemplating the ideas at the moment as … [Read more…]
A demo for thinking about how to use ML to steer decision making.
One approach to problem-solving is to use a program to find the optimized solution. This applies broadly. For example, your problem might be finding the lowest cost location to build a distribution center (DC), finding the right people to add to your team/company, or determining how to get to the local Target. When systems create … [Read more…]