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Process Mining: Discovering and Improving Spaghetti and Lasagna Processes

Summary: Process Mining: Discovering and Improving
Spaghetti and Lasagna Processes
Wil M.P. van der Aalst
Department of Mathematics and Computer Science, Eindhoven University of Technology - The Netherlands
Email: w.m.p.v.d.aalst@tue.nl
Abstract--Process mining is an emerging discipline providing
comprehensive sets of tools to provide fact-based insights and
to support process improvements. This new discipline builds on
process model-driven approaches and data mining. This invited
keynote paper demonstrates that process mining can be used to
discover a wide range of processes ranging from structured pro-
cesses (Lasagna processes) to unstructured processes (Spaghetti
processes). For Lasagna processes, the discovered process is just
the starting point for a broad repertoire of analysis techniques
that support process improvement. For example, process mining
can be used to detect and diagnose bottlenecks and deviations in
(semi-)structured processes. The analysis of Spaghetti processes is
more challenging. However, the potential benefits are substantial;
just by inspecting the discovered model, important insights can be
obtained. Process discovery can be used to understand variability


Source: Aalst, W.M.P.van der - Wiskunde en Informatica, Technische Universiteit Eindhoven


Collections: Computer Technologies and Information Sciences