Stefan's data wrangling was a crucial success factor for applying process mining to his healthcare processes. He shows two concrete examples of the data transformations he had to do.
The University Hospital Zurich (USZ) is one of the biggest hospitals in Switzerland. Stefan is a process manager in the business development team. He presents two process mining examples from his hospital.
One case was a reorganization case: USZ wanted to restructure nine hospital business units into three new divisions. The goal was to group existing departments that work closely together in the same division, where possible. Stefan used process mining to analyze the relationship between clinics based on their interactions to ensure the correct placement. The other case was about optimizing admission and discharge times.
Stefan shows in detail both the massaging of the data he had to do and the resulting views he could create in Disco. Overall, he had to split the data, duplicate records, sort events, split cases, and aggregate unit descriptions to the right granularity. He also encourages us to document our analyses and data transformations using the recipe functionality.
At Radwell, physical machines and spare parts are sent from one place to another. Eric analyzes these processes to help managers apply data to their intuition to make the right decisions.
Xhentilo discusses the concrete challenges he has encountered in the data collection, data pre-processing, and data analysis phases of his audits in the past.
Franck, Ruth, and Mithra share their experience of establishing a working group in a process mining capacity within an EU Agency and across several EU bodies.
Process mining has several advantages over classical web analytics. Vanessa shows how to better understand the customer journey based on process mining.
© 2025 by Fluxicon BV, all rights reserved.
You can read our privacy policy here.
Page created in 15.1 ms.
