An expert in Business Analytics needs to have a large toolbox. This box includes skills like data preparation and cleaning, data visualization, statistical data modeling, programming with data, etc. Some recent additions to the toolbox include Text Mining (aka. Natural Language Processing) and Process Mining (PM). For the latter, the focus is on event data. For example patients in a hospital, that follow a process of registration, triage and assessment, x-ray or blood test or MRI or any of them, discussion of the results and eventually a check out. Most companies are interested to understand such processes (e.g. source to pay or order to cash), their complexity, the outliers, the inefficiencies, the durations. PM is a rather young discipline, formalized only towards the late 1990s. It has now become a solid methodology with the potential to dramatically reduce process complexity for many companies. In this talk we introduce the topic, and provide several examples using the bupaR library in R and a commercial software.