Being able to perform good data analysis is a fundamental part of running any business or organization. One way of enabling data analysis is with a data warehouse system, a type of database that gathers and transforms data from multiple sources and structures it in the goal of simplifying analysis. It is commonly used to provide support in decision-making. Although a data warehouse enables data analysis, it is also relevant to consider how well the system supports analysis. This thesis is a qualitative research that aims to investigate how work domain analysis (WDA) can be used to evaluate the design of a data warehouse system. To do so, a case study at the IT company Norconsult Astando was performed. A data warehouse system was designed for an issue management system and evaluated using the abstraction hierarchy (AH) model. The research done in this thesis showed that analysis was enabled by adopting Kimball’s bottom-up approach and a star schema design with an accumulating snapshot fact table. Through evaluation of the design, it was shown that most of the design choices made for the data warehouse were captured in the AH. It was concluded that with sufficient data collection methods, WDA can be used to a large extent when evaluating a data warehouse system.