Hadi brought his enthusiasm for football and his love for data together when he analyzed the 2018 World Cup data with process mining. He realized that the key to finding patterns is to make the right assumptions when preparing the data.
Sometimes, an application of process mining comes along that nobody thought of before. Hadi Sotudeh, PDEng student at JADS, had such an example when he applied process mining to data from the 2018 World Cup in football.
After transforming the data into an event log suitable for process mining, he was especially interested in how a football team possesses the ball on the pitch. This would give coaching staff great insights into interesting patterns of play to develop counter strategies for an opponent, or for a team to learn from mistakes.
The challenge is that the football interactions do not follow a typical (standard) process. Therefore, finding the right perspective is not easy. Hadi shows that there is not just one perspective, but that the same data can be molded to explore many different angles. Each of these perspectives can give different insights. For example, next to sequences of types of actions, he also looked at interactions between individual players, zones in the field, and patterns for particular outcomes (e.g., goal or throw-in).
ASML is the leading developer of photolithography systems for the semiconductor industry. Freerk shows how he has used process mining to analyze and improve lithography system start and calibration sequences, resulting in higher system availability.
Jozef and Claus developed a standard approach for black-box process discoveries. Using process mining, they first explore and review the processes on their own and then dive deeper in the analysis with the subject matter experts.
Zvi shows how process mining techniques can be leveraged to improve natural language interfaces by analyzing conversational data from chatbot interactions with customers.
Bas and Frank Nobel made an impact with process mining at the Dutch pension provider PGGM. The process lies at the heart of most of their improvement initiatives and they are always a multi-disciplinary effort.
Mark and Carmen applied process mining to understand how Philips' MRI machines are actually used by physicians in the field. The discovered usage patterns increase the test coverage based on real-life behavior for these machines.
Sudhendu developed a ‘Process Wind Tunnel’ framework by combining process mining and simulation. Based on real-world data, discrete-event simulation optimization is used for improving insurance business processes within AIG.
Boris applied process mining in the area of logistic process automation. He validated and optimized test scenarios during some of the most critical phases of a project — acceptance testing and operational trials.
The final speaker at Process Mining Camp 2019 was Wil van der Aalst, the founding father of process mining. In his closing keynote, Wil talked about responsible data Science for process miners.
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