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.
Radwell buys, sells, and repairs industrial automation and electrical control equipment. Eric vividly illustrated the complexity behind these physical processes. They had already tried mapping their processes manually, but this was very difficult. At the same time, they had terabytes of data, which he thought they should be able to use more constructively.
Eric's collaboration with the process managers and experts was a testament to the power of process mining. They, who knew their processes inside out, had always relied on their gut feelings to guide them. However, when process mining was introduced, it not only validated their instincts but also provided a deeper understanding of the process reality, instilling a sense of reassurance and confidence in the effectiveness of this approach.
Eric shows two different cases. One identified over 16,000 items that Radwell could better ship directly to specific branches to avoid unnecessary back-and-forth shipment. The other resulted in hiring staff in a department that was just understaffed, given the increase in incoming items.
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.
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.
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