Abstract: Method and system for generating summary scores from heterogeneous measures retrieved from multi-dimensional data structures for monitoring organizational performance. Scorecards are created for each group of tree-structured measures branching from Parent nodes to child nodes based on Key Performance Indicators (KPI). Scores for each parent node may be obtained by rolling up scores for child nodes reporting to the parent node. KPI's at the lowest level are mapped on first scale, then mapped to a normalized scale, and score values determined. KPI scores are weight-averaged for roll-up to a parent node determining the score for that node. Multiple parent nodes may be rolled-up to a higher level node in a similar way. Multiple dimensions of the measure such as geographic and temporal may be scored simultaneously.

Abstract: A dimension member of a report is slid to produce a new view of the report that corresponds to the slid dimension. The dimension member sliding allows navigation of a dimension of the data by members in a pattern that is not hierarchical. The view of the report corresponds to a hierarchy tree that is decomposed into a matrix. The next dimension members are determined using the matrix and the dimensionally slid view of the report is generated.