Interactive Poster: Exploring OLAP Aggregates with Hierarchical Visualization Techniques
Svetlana Mansmann, Marc H. Scholl, Daniel A. Keim, Florian Mansmann · KOPS (University of Konstanz) · 2006
Analysts interact with data cubes in a predominantly drill-down fashion, i.e. from coarse grained aggregates towards the desired level of detail. Hierarchical visualization techniques offer an adequate structure for mapping the logic of the exploration due to preserving the overview of the entire interaction and providing the details of every drill-down step. We present a novel user interface for exploring complex multidimensional data in an OLAP (online analytical processing) environment. Users navigate in dimensional hierarchies via a schema-based data browser. Query results are presented in form of enhanced decomposition trees. We propose multiple tree layouts and embedded visualization techniques optimized to satisfy various criteria.