Abstract: A dashboard evaluator is disclosed. The dashboard evaluator evaluates a dashboard design for its effectiveness in providing the information. The dashboard evaluator determines a level of compliance with dashboard design principles. The design principles may be tailored to a specific purpose and/or user.

Abstract: Disclosed is a computer method and system for identifying significance of patterns across a plurality of data patterns, which involves identifying pattern types of the plurality of data patterns, determining a relative pattern significance factor to compare the pattern types. Determining the relative pattern significance factor further involves calculating a percentage change of an identified outlier from a median for a outlier pattern, calculating a value of a step change as a percentage of a last value of a step preceding the step change for a step change pattern and calculating a percentage change from a start value on the fitted curve to an end value on the fitted curve for a trend pattern. A ranked list of the pattern types are returned based on their corresponding relative pattern significant factors.

Abstract: Described herein is a technology for facilitating process driven business intelligence. In one implementation, context data generated by a business process tool is received. One or more relevant application programming interfaces (APIs) are identified by matching the APIs with the current attribute associated with the context data. The APIs are executable by a processor to retrieve source data from an information source and provide business intelligence based on the source data.

Abstract: Described herein is a technology for collaboration. In accordance with some implementations, the workspace tool is adapted to cooperate with an electronic communication system. Electronic communications related to the workspace tool are stored in a repository and are associated with respective workspaces. The workspace tool allows participants of a workspace to access all information related to the workspace.

Abstract: A computer readable storage medium includes executable instructions to define a report part with a report part element and a report part identifier. A report part computation context including a report identifier, a report part element identifier and a context data path is identified. The report part is associated with the report part computation context. The report part is evaluated according to the report part computation context. A report part value is returned.

Abstract: Described herein is a technology for visualizing data. In accordance with some implementations, dimension metadata is automatically extracted from multiple documents. The extracted dimension metadata may be used to populate one or more relation dimensions. Based on the dimension metadata, one or more relations between the documents are determined along the one or more relation dimensions. A relation graph is presented to represent the documents interconnected by the one or more relations.

Abstract: Described herein is a technology for facilitating searching and matching of data. In some implementations, an input data string, including one or more ideographic elements, is received and converted to a Latin-based input data string. One or more input keys may be generated based on the Latin-based input data string. A reference database may be searched for one or more candidate records indexed by at least one of the one or more input keys. If the one or more candidate records are found, a match score is determined for the one or more candidate records.

Abstract: A computer readable medium includes executable instructions to monitor the exchange of messages between a first computer and a second computer in a network. Context from the messages is assembled. The context is used to form a query. The query is applied to one or more report documents.

Abstract: A computer readable storage medium includes executable instructions for facilitating automatic server optimization in a system. The executable instructions include instructions to accept a set of initialization parameters, analyze a set of one or more configuration sources, determine a set of configuration settings, receive a series of load levels, and select a load level. The set of configuration settings are tested against the load level. An optimal configuration setting for the load level is identified. The optimal configuration setting is recorded.