The impact of data-driven work processes on enterprise risk management

The objective of the master thesis is to explore the use of data-driven work in the enterprise risk management of the Dutch rail sector. The research is conducted by using a holistic multiple-case study. Several interviews were held with ProRail, the NS, and Connexxion. The research concludes that larger rail organizations apply the philosophy of enterprise risk management. In addition, the larger organization are more data-driven. The reason for these differences can be found in the availability of resources. Smaller rail companies are by default more integrated due to their compact business structure. Furthermore, they do not have the small financial means to invest in data-driven work processes. The research recommends applying for data-driven work in enterprise risk management to increase the predictive abilities of the function. However, proper processes designs are needed in advance.