Last year, 2021, was a shake-up for US labor markets (to say the least). One of the most prominent metrics from the BLS was the number of people quitting and switching jobs (i.e. the Great Resignation). One way to think about it is that in September 2021, ~25% more workers quit their job than in … [Read more…]
Historically, many people determined their geographic location based on job proximity. Personally, in the past 10 years my wife and I moved from San Francisco to New Jersey to Boston and to Minneapolis in pursuit of new job opportunities. While many jobs will remain locale-based, many will not. In his new book Masters of Scale, … [Read more…]
Better visibility to performance of the major components of the US supply chain might help companies plan better.
I run prediction markets within Target. In order to estimate how surprised I should be by streaks of correct predictions by individuals, I use toy simulations.
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.
What comes first, the story or the data? I’ve been exploring that delicate balance with change-point algorithms and a chart from Piketty’s Capital in the 21st Century. #dataanalytics
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…]
A demo for thinking about how to use ML to steer decision making.