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.
Euroclear has been using process mining in their audit projects for several years. Xhentilo shows us what this looks like step-by-step. He starts with a checklist for the applicability of process mining in the Business Understanding phase. He then goes through the Fieldwork, Clearance, and Reporting phases based on a concrete example.
In each phase, Xhentilo examines the challenges and opportunities that process mining brings compared to the classical audit approach. For example, traditionally, the analysis in the Fieldwork phase is based on samples and interviews. In contrast, auditors can use process mining to test the entire data population. In the Clearance phase, process mining changes the relationship with the auditee due to fact-based observations.
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.
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.
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.
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