In my first article on Survival Analysis, I introduced the concept of a survival function and how we can use this to compare different demographics in the case of churn. Here the mode of transport was used to compare churn rates for employees at a fictitious company. It was evident that Read more…
What is model explainability and why do we need it? Machine learning has been on a roll during the past decade. Increasingly more businesses have recognized the potential of the technology and have started to implement predictive models to drive decision making processes all across their value chain. Driven by Read more…
“You need to learn about your churn!”. But what is churn? Am I going to talk about machines and techniques to improve butter production? Well, no, I am talking about the other type of churn, specifically employee churn, or turnover – the rate at which employees leave a workforce and are replaced. Read more…
For the first time, the People Analytics & Future Of Work (PAFOW) Conference was staged on the worldwide web rather than in large conference halls. However, this did not spoil the fun for Al Adamsen, David Green, and the more than 300 HR managers, vendors, and enthusiasts who were keen Read more…
“That’s astounding” — a common response you would hear from the ever enthusiastic Al Adamsen, the PAFOW (People Analytics & Future Of Work) founder. You could actually insert any overly positive adjective here (awesome was another favourite), I am sure Al wouldn’t mind. Coming from a physics background, and several Read more…