Exploration and Visualization of OLAP Cubes With Statistical Tests
In On-Line Analytical Processing (OLAP), users explore a database cube with roll-up and drill-down operations in order to find interesting results. Most approaches rely on simple aggregations and value comparisons in order to validate findings. In this paper, the authors propose to combine OLAP dimension lattice traversal and statistical tests to discover significant metric differences between highly similar groups. A parametric statistical test allows pair-wise comparison of neighboring cells in cuboids, providing statistical evidence about the validity of findings.