Process Mining Without Perfect Data? Anne Rozinat Says Yes!

Anne Rozinat has been a process mining enthusiast for more than two decades.She holds a PhD degree in process mining from the Eindhoven University of Technology (TU/ e).Together with Christian Gu nther, she is a co-founder of one of the oldest process mining tool vendors in existence: Fluxicon (since 2009). 1 Their Disco tool is used by professionals, and has a long-standing tradition of being used by research groups and teachers all over the world, thanks to their Academic Initiative.Fluxicon's Flux Capacitor blog 2 and Process Mining Cafe 3 regularly provide insights on the intersection of industry practice and academic research on process mining.Thanks to her wealth of experience on both sides of the process mining world, Anne is a perfect candidate to provide her views on the topic of our special issue related to Exploring the (Mis)-Match Between Real-World Processes and Event Data.BISE: Hello Anne, thank you for taking your time and joining us today.To start off, can you share a bit about your journey in process mining and what sparked your interest in this field?Anne: Thank you for inviting me!I came across the topic as a student in the early 2000s.Prof. Weske offered great BPM lectures and seminars at the HPI in Potsdam, Germany, where I stumbled upon process mining.Back then, it was still called workflow mining and ProM did not yet exist.I loved the idea of turning BPM on its head and automatically, magically, discovering process maps from event data.