I routinely study differences in production between years by charting the data on the same graph. I consider this a popular approach. It makes sense since there is often interest on how the year is shaping up compared to previous years. Moreover, seasonality would be less relevant given that the same seasons are compared between years (assuming the seasons reoccur at around the same time). Below I present some real data from an organization in 1983 comparing production to 1982. I think many…

When the performance of an employee is evaluated, ideally there are no externalities to complicate the analysis. If the employee has a computer that is constantly freezing up - or the servers in the company frequently operate slowly - the employee's performance data will reflect the functionality and effectiveness of these systems. If the company occupies a highly competitive market, declining sales data is attributable at least in part to competition rather than the behaviours of employees.…

In this blog, I will be discussing some distinct types of data involved in feedback. The types that I will be covering are as follows: 1) structural; 2) event; 3) quantitative; 4) contextual; and 5) systemic. In 2014, I recall reading a number of blogs about three types of data: prescriptive, descriptive, and predictive. There was a data scientist apparently on tour lecturing extensively about these three types. I don't recall the individual's name. Well, prescription, description, and…