Enriching managerial decision making through data visualization

The master thesis entitled "Enriching managerial decision making through data visualization" is focused on a comprehensive description and mapping of the analytical technique of data visualization and its deeper exploration in terms of its impact on individual data interpretation and subsequent managerial decision making. The thesis is divided into two parts - theoretical and empirical. The theoretical part describes the analytical techniques and the position of data visualisation within these techniques, then defines the principles for creating high quality data visualisations and finally presents the process of creating high quality data visualisations together with some examples. The empirical part coherently follows the theoretical part, where, using quantitative research in the form of GAP analysis, it goes in depth into the search for relationships between how data visualisation can enrich data interpretation and decision-making itself in practice. The aim of this thesis is therefore to introduce and elaborate on the methods and principles of how data visualization helps in everyday individual data interpretation and data-driven decision making in today's data and report overloaded world. At the same time, within the framework of the research, to determine whether a high-quality and systematically performed data visualization actually helps to improve data interpretation and thus enhance the quality of managerial decision-making.