The Erasmus University (EUR) is an internationally accredited research university based in the beautiful city of Rotterdam. At its heart the EUR puts the student experience above all, it offers students to interact with a vibrant and entrepreneurial environment. To create this climate, the EUR promotes extracurricular activities at the many student organisations and focuses to attract international top talents.
Since EUR admits students from all over the world, they want to ensure the best customer journey for their application process. For students outside of the European Economic Area (EEA) the admissions process is more complex due to regulations. Moreover, it is a challenge to understand the extra complexity where and why students drop out, and how individual students flow through the admission process.
Within the university, the ability to understand processes and improve student experience is part of their digitalisation strategy. The digitalisation of processes and capability towards a data driven organisation serves the solution for problems within the admissions process. In order to become data driven, the Erasmus University needs to understand where data is stored and how to translate this into valuable insights. Process Mining is the perfect fit to help build this understanding and create more enthusiasm for data-driven working.
Consequently, the EUR decided to collaborate with Apolix – one of their alumni’s start-ups -and discover the power of Process Mining. As the first step in the roadmap towards a data driven organisation, we took on the project to optimise and reduce the drop-out rate of non-EEA students within the admissions process of one of the schools of Erasmus University.