In her research, Karoline Glaser is particularly interested in the implications of different software development environments, approaches, and product characteristics related to data analytics for software providers and their development outcomes. Especially, the characteristics of data analytics applications, such as the required integration of large amounts of data and machine learning functionalities, entails challenges for systems development. As analytics applications are often implemented for data-driven decision making, their development and implementation entails high interactions and interrelationships between developers, the application itself and potential users. She pursues the goal to understand and explain why and how such interactions occur and unfold, and what their implications are. At the same time, data analytics entails new challenges for the development of such systems. The effective and efficient organization of these activities through integrated development methods thus becomes a potential source of competitive advantage.
More information on her research here: https://tu-dresden.de/bu/wirtschaft/mananalytics