Abstract: A technique for detecting anomalous values in a small set of financial metrics makes use of context data that is determined based upon the characteristics of the target company being evaluated. Context data is selected to represent the historical values of the financial metric for the target company or the simultaneous performance of peer companies. Using the context data, an anomaly score for the financial metric is calculated representing the degree to which the value of the financial metric is an outlier among the context data. This can be done using an exceptional statistical technique. The anomaly score can be used to evaluate the risks associated with business transactions related to the target company.

Abstract: An interactive graphics-based analysis tool for performing reliability analysis of a system formed from a variety of subsystems and components within each subsystem. The tool uses a hierarchical representation component to organize the system, subsystems and components into a hierarchical representation. An interactive selection component provides different options for analyzing the hierarchical representation. A reliability analysis component, responsive to the hierarchical representation component and the interactive selection component, allows a user to perform a reliability analysis at any level of the hierarchical representation.