Abstract: A dynamic system and method for efficiently measuring organizational compliance with multiple, overlapping, selected sources of compliance requirements by making associations of individual source controls and survey questions with a limited set of discrete compliance objectives, and by enabling creation of compliance surveys and analysis of survey answer sets based on user-selected criteria that may include selection of a specific source or sources; one or more discrete compliance objectives, and/or a choice of questions from a master question pool. Custom surveys with weighted questions and dynamic reporting enables responses to compliance audits to be analyzed against a predetermined benchmark result, against responder's own prior results, or against other responders.

Abstract: A dynamic system and method for efficiently measuring organizational compliance with multiple, overlapping, selected sources of compliance requirements by making associations of individual source controls and survey questions with a limited set of discrete compliance objectives, and by enabling creation of compliance surveys and analysis of survey answer sets based on user-selected criteria that may include selection of a specific source or sources; one or more discrete compliance objectives, and/or a choice of questions from a master question pool. Custom surveys with weighted questions and dynamic reporting enables responses to compliance audits to be analyzed against a pre-determined benchmark result, against responder's own prior results, or against other responders.

Abstract: A system and methods for displaying data distribution information for time-series data is described. The methods include computing a condensed quantile function that may be used to generate approximate histograms for the time-series data, while decreasing the data storage requirements for generating a series of histograms for time-series data. The methods further include displaying the data distribution information using stack-bar histograms, many of which may be shown in a single display to permit a user to discern trends in the data distribution information. Methods for merging condensed quantile function tables are also described.

Abstract: A system and method for monitoring a set of performance metrics is described. The methods include metric correlation and grouping methods that analyze a group of temporally related metrics, and correlate pairs of the metrics in the group. In one embodiment, rank correlation techniques are used to perform this correlation. Methods are also described for grouping metrics using a dynamic correlation pair graph that preserves all of the correlated relationships. This correlation pair graph may be used to determine which metrics are associated with a particular key metric, which may provide information on the cause of an alarm or other event involving the key metric. Another embodiment includes apparatus for correlating, grouping, and identifying the metrics.

Abstract: A system and method for monitoring a set of performance metrics is described. The methods include metric correlation and grouping methods that analyze a group of temporally related metrics, and correlate pairs of the metrics in the group. In one embodiment, rank correlation techniques are used to perform this correlation. Methods are also described for grouping metrics using a dynamic correlation pair graph that preserves all of the correlated relationships. This correlation pair graph may be used to determine which metrics are associated with a particular key metric, which may provide information on the cause of an alarm or other event involving the key metric. Another embodiment includes apparatus for correlating, grouping, and identifying the metrics.

Abstract: A system and methods for displaying data distribution information for time-series data is described. The methods include computing a condensed quantile function that may be used to generate approximate histograms for the time-series data, while decreasing the data storage requirements for generating a series of histograms for time-series data. The methods further include displaying the data distribution information using stack-bar histograms, many of which may be shown in a single display to permit a user to discern trends in the data distribution information. Methods for merging condensed quantile function tables are also described.