The group for Data Analysis and Visualization lead by Prof. Dr. Daniel A. Keim. The Data Analysis and Visualization group conducts research in the analysis, exploration, and visualization of Big Data. We develop novel techniques for visual analysis of business, customer, finance, demoscopic, and network data motivated by applications in customer relationship management (CRM), telecommunications, the financial market and network security. We thereby focus on techniques for interactive mass data analysis applied to very large multidimensional and geographic data sets. Furthermore, we deal with clustering methods and index structures for high-dimensional spaces in the field of data analysis as well as with applications for multimedia similarity search (2D and 3D).