1st Supervisor: Prof. Dr. Joachim P. Hasebrook

2nd Supervisor: Prof. Dr. Stefan Kirm▀e

A growing number of companies have started to build a plethora of interactive tools for corporate intelligence and business analytics. This thesis argues that the majority of software solutions currently available show a strong preponderance towards supporting only the cognitive and planning phases of the decision making process and moreover only for a limited scope of application scenarios. The thesis starts from first principles and explores the fundamentals of information visualization, then goes onto dissect the phases of the decision making process before devising an information visualization categorization system which accommodates all the various segments of the decision making process, taking into account scenarios governed by problem and social complexities. The categorization system is then tested in a series of experiments, which aim to simulate real life decision-making scenarios typically occurring in corporate boardrooms. The findings from the experiments entail some significant insights, which are likely to influence the development of next generation corporate intelligence and business analytic tools.