Techniques are disclosed for efficiently analyzing measurement data for
business processes (for example, in a service provider environment).
Business process-aware modules or "cubes" are created from the
measurement data, using features of a spatially-enabled database system.
A "drill-down" approach is provided for investigating underlying
information for a cube (including lower-level linked cubes). Data types
other than cubes, such as planes from which a cube is constructed, may
also be analyzed. The disclosed techniques may be used to provide
autonomic systems, which are self-aware, at a business process level.
That is, based on results of analyzing data represented by a cube,
autonomic adjustments may be made. In a service provider environment, the
analysis and/or the autonomic adjustments may be directed toward enabling
the service provider to avoid jeopardizing commitments in service level
agreements (and the revenue loss that may result when the commitments are
not met).