The complexity and size of today’s data require new approaches to enable an efficient and effective handling, analysis and generation of values. Above all, efficiency is an essential aspect when making decisions based on data. To enable human making precise and efficient decisions, interactive graphical representations give a quick overview of existing problems, enable advanced analytics and provide a deeper insight into the domain problem. To force and enhance this, current approaches are developed, as well as modern research approaches are taken into account, which are usually generated in the context of research projects. In various industrial application scenarios, our previously developed SemaVis technology were already able to convince the industry demands with a variety of application scenarios.

Visualizations help to explain complex facts comprehensible to humans. The Human-Computer Interaction & Visual Analytics group at the Darmstadt University of Applied Sciences works on processing data in the form of texts, images and graphics and their associations with visually ascertainable information and supporting the process of knowledge acquisition and information gathering. The aim is to semantify existing big data and therwith enrich structured data with “visual semantics”, allowing users to understand the relationships between data and make decisions more precisely and efficiently.