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.
Mitchell Cunningham is a process analyst with experience across the business process management lifecycle. He has a particular interest in process performance measurement and the integration of process performance data into existing process management methodologies.
Suncorp has an established BPM team and a single claims-processing IT platform. They have been integrating process mining into their process management methodology at a range of points across the process lifecycle. They have also explored connecting process mining results to service process outcome measures, like customer satisfaction. Mitch gives an overview of the key successes, challenges and lessons learned.
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.
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.
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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