Process Mining: Discovering Process Maps from Data

Process Mining: Discovering Process Maps from Data, Anne Rozinat and Christian W. Gunther, Fluxicon
Most organizations have complex processes that are invisible, thus hard to manage or improve. Each stakeholder sees only part of the process. Manual discovery through workshops, interviews, and review of existing documentation is costly and time-consuming, and rarely reflects actual process complexity. Process mining closes this gap by making the real process visible. Our process mining software Disco leverages existing IT data to generate a complete, accurate picture of the process, with actionable insight. Disco automatically analyzes actual process flows, highlights bottlenecks, shows all variants, and allows animated “replay” of the process flow, all done interactively, driven by process questions.

Anne Rozinat has more than eight years of experience with process mining technology and obtained her PhD cum laude in the process mining group of Prof. Wil van der Aalst at the Eindhoven University of Technology in the Netherlands. Currently, she is a co-founder of Fluxicon and blogs at http://www.fluxicon.com/blog/.

Christian W. Günther is a process mining pioneer. He has laid essential technical foundations as lead architect of the scientific process mining platform ProM, and introduced the map metaphor to process mining in his PhD thesis. His “Fuzzy Mining” approach is the predominant process mining algorithm in practical use today.