Service management tools include only rarely the visualizations that provide a high level of information to support the management of services. The reasons for this and many examples of high-level visualizations are provided.
In this age of visual management, Bayesian reasoning, machine learning and other statistical methods, it is increasingly important to understand how certain we are about the “facts” and how to visualize that uncertainty.
I have frequently remarked that “traditional” analysis of service events and the plotting of data is highly misleading. This is due to a distribution of data that is neither symmetric nor normal. A useful data plotting tool for asymmetric, non normal data distributions is the violin plot. This article joins my series of articles concerning […]