During his master studies at Eindhoven University of Technology, Tijn developed a framework for conducting process mining projects. He introduces his framework, and tells how he implemented it at a project for the Rabobank.
Tijn van der Heijden is a business analyst with Deloitte. He learned about process mining during his studies in a BPM course at Eindhoven University of Technology and became fascinated with the fact that it was possible to get a process model and so much performance information out of automatically logged events of an information system.
Tijn successfully introduced process mining as a new standard to achieve continuous improvement for the Rabobank during his Master project. At his work at Deloitte, Tijn has now successfully been using this framework in client projects.
As a consultant for CKM Advisors in New York City, Lalit delivers projects for clients, mainly in the financial industry. A lot of their projects have a strong focus on data science, and process mining fits perfectly into this approach.
Philipp tells us how he introduced process mining to analyze the world's largest purchasing process at Volkswagen with Process Mining. He emphasizes the responsibility of the analyst to take all the context information into account.
Mitch works as a business analyst at Suncorp, one of Australia's largest insurance companies. He talks about how they integrated process mining into their practice and their organization, the challenges they faced, and the value that they could realize.
As a business consultant, Walter is always looking for new and exciting ways to deliver value to his customers. He found the perfect tool with Process Mining in a project for a security company, where he could give new answers to pressing questions.
For an auditor, process mining can make their work much more efficient, since it can automate and support many checks they need to make. But it can also allow them to test all cases, instead of only samples.
Wil gives an overview about the history of Process Mining. How can it be placed in the larger context of BPM and machine learning research, how did it all get started, and what were the major developments since then?
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