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| Author(s) |
Vinnik, S., Mansmann, F. |
| Title |
From analysis to exploration: Building enhanced visual hierarchies from OLAP cubes |
| Abstract |
We present a novel framework for comprehensive exploration
of OLAP data by means of user-defined dynamic hierarchical visualizations. The multidimensional data model behind the OLAP architecture is
particularly well suited for sophisticated analysis of large data volumes.
However, the ultimate benefit of applying OLAP technology depends on
the "intelligence" and usability of visual tools available to end-users.
The explorative framework of our proposed user interface consists of the
navigation structure, a selection of hierarchical visualization techniques,
and a set of interaction features. The novel navigation interface allows
users to pursue arbitrary disaggregation paths within single data cubes
and, more importantly, across multiple cubes. In the course of interaction, the navigation structure adapts itself to reflect the chosen path and
the options valid in the current context. Special effort has been invested
in handling non-trivial relationships within hierarchical dimensions in a
way transparent to the user.
We propose a visual structure called Enhanced Decomposition Tree to
use along with popular "state-of-the-art" hierarchical visualization techniques. Each level of the tree is produced by a disaggregation step,
whereas the nodes display the specified subset of measures, either as
plain numbers or as an embedded chart. The proposed technique enables
a stepwise descent towards the desired level of detail while preserving the
history of the interaction. Additionally, aesthetic hierarchical layout of
the node-link tree ensures clear structural separation since the analyzed
values are embedded in the nodes whereas their dimensional characteristics label the links. Our framework provides an intuitive and powerful
interface for exploring complex multidimensional data sets. |
| Download |
ViMa06.pdf |
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