Knowledge discovery and visualisation are important techniques for discovering and understanding patterns in large data sets. The study presents the development of a three dimensional virtual reality model that assists the user to visually explore structures and relationships in the collected data. The three dimensional model uses a combination of nodes and paths to represent objects/actors and the strength/direction of the measured characteristic. Virtual reality provides the mechanism for manipulation of the developed model in real-time. Specifically, we demonstrate the potential of this visual tool by having post-graduate students, organised into focus groups, engage in a knowledge discovery exercise with data collected in an academic work environment. The method adopted to convert the identified relationships into a virtual reality model is discussed, as well as some of the additional features that could be incorporated using such a method.