Processes involve coherent series of changes over time. Process Analytics uncovered the hidden structures in these processes and uses these for process improvement. The process analytics group focusses on the interplay between processes, the data these processes generate, the models that are used to describe them, and the systems that support these processes. The group distinguishes itself in the Information Systems discipline by its fundamental focus on modelling, mining, understanding, analyzing, and improving these processes. 

Our mission is drive innovation in process mining: the data-driven study of processes

The ubiquitous availability of digital trace data, combined with advanced data analytics capabilities, offers new and unprecedented opportunities to study such processes through process mining on multiple data sources.

As part of the department of Mathematics and Computer Science, we develop the tools, techniques and knowledge to advance the field of process analytics.