Fluxicon organizes Process Mining Camp since 2012. It's our favorite part of the year. We look back at the talks from the past nine years and categorize them into industries and use cases.
Anne Rozinat is co-founder at Fluxicon and welcomes the campers to a week of process mining.
We look back at the talks from the past nine years of Process Mining Camp, and we categorize them into industries and use cases. When you start with process mining, it is always helpful to see examples from people who were in a similar situation as you are now. One way to look at all the process mining stories is to categorize them per industry. Newcomers in the process mining world often want to hear about the experiences at similar companies. For example, a process analyst at a bank might want to see examples of how other banks have used process mining.
Another way, however, to look at these same case studies and camp talks is to group them into use cases. A use case is less concerned about the industry where you apply process mining. Instead, it focuses on who is using process mining and why. It is helpful to look at process mining examples from this perspective because it helps you understand how process mining fits into the methodologies you already use (and how it will change your current way of working). For example, process improvement teams often work with the DMAIC approach from Lean Six Sigma, or the PDCA cycle. Auditors have their own procedures. Based on three examples, we show how you can integrate process mining into these existing methodologies.
During the first quarter of 2020, the mortgage provisioning lead time was above the stated limit. Daan shows how only the process analyst and the domain expert together can solve the problem.
We discuss process improvement methodologies and best practices for process improvement with Sudhendu Rai and Daan Jabroer.
When you perform an audit with process mining, you need to be methodical in your approach and tame the complexity by focusing on the right questions.
We talk about audit standards, new definitions of materiality, and research on how auditors assign risk to deviations with Mieke Jans, Jasmine Handler, and Andreas Preslmayer.
Process mining complements productivity management in the digitized industry. Domain knowledge is necessary to generate improvement ideas and multi-disciplinary teams are needed to implement the change.
We dive into Lean manufacturing and discuss whether data analysis is too far away from the physical processes with Joris Keizers, Minh Chau Nguyen, and Klaus Kühnel.
Gary shows how he got from disparate data sources to an end-to-end process visibility. As a process owner, process mining allows him to analyze his process completely by himself, independently from the IT department.
We talk about where to find data and how to make it available for fresh analyses with Carmen Lasa Gómez, Javier García Algarra, and Gary Bonneau.
How can Artificial Intelligence & Machine Learning improve processes? Robotic Process Automation automates and improves individual tasks but it requires a hybrid intelligence to combine data, algorithms, and people.
We discuss explainability research, multi-agent systems, and responsible data science with Manuela Veloso and Wil van der Aalst.
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