Abstract: A technology for building and displaying interaction relationships between visual components of a dashboard is provided. In accordance with one aspect, interaction relationships are defined between the components of the dashboard using a data grid. A relationship may be defined by associating a component to a grid cell and defining a formula in the grid cell based on one or more other grid cells which are further associated to one or more other components. In accordance with another aspect, information of a dashboard including dashboard components, input data and output data in the dashboard is converted into dashboard data models. An interaction relationship graph may be generated based on interactions of the input data and output data of the components. The interaction relationship graph comprises source-to-target relationships between source and target components of the dashboard.

Abstract: A system and method for determining a set of visualization points from any given two-dimensional dataset to best describe a given visual analytic. A first user selection is received in a data processing apparatus for a chart. A chart type associated with the first user selection is identified for the chart. One or more visualization strategies are accessed from a strategy pool database based on the chart type. A second user selection is received in the data processing apparatus for a two-dimensional dataset from a data provider in communication with the data processing apparatus. The two-dimensional dataset is analyzed to determine a best strategy from the one or more visualization strategies accessed from the strategy pool database. Metadata representing the two-dimensional dataset is generated based on the best strategy, and a display representing the metadata is generated to visualize the two-dimensional dataset according to the best strategy.

Abstract: A technology for building and displaying interaction relationships between visual components of a dashboard is provided. In accordance with one aspect, interaction relationships are defined between the components of the dashboard using a data grid. A relationship may be defined by associating a component to a grid cell and defining a formula in the grid cell based on one or more other grid cells which are further associated to one or more other components. In accordance with another aspect, information of a dashboard including dashboard components, input data and output data in the dashboard is converted into dashboard data models. An interaction relationship graph may be generated based on interactions of the input data and output data of the components. The interaction relationship graph comprises source-to-target relationships between source and target components of the dashboard.

Abstract: Embodiments provide a data caching mechanism based on a user's request (query) to a remote database, and the corresponding response (query result) received therefrom. As part of a database query, the user can define cache parameter(s). When a viable communications link becomes available to access the remote database, volumes of relevant data are returned as a query result and cached locally according to those predefined cache parameter(s). Embodiments are particularly suited to allow a mobile device to interact with data of a remote database in an efficient and reliable manner. The mobile device's small form factor, may preclude local storage of large volumes of remotely stored data. However, this can be compensated for by selectively storing data in the cache memory according to user-specified parameters, allowing the mobile device to continue to have access to relevant information in the event that communication with the remote database is degraded or lost.

Abstract: Embodiments provide a data caching mechanism based on a user's request (query) to a remote database, and the corresponding response (query result) received therefrom. As part of a database query, the user can define cache parameter(s). When a viable communications link becomes available to access the remote database, volumes of relevant data are returned as a query result and cached locally according to those predefined cache parameter(s). Embodiments are particularly suited to allow a mobile device to interact with data of a remote database in an efficient and reliable manner. The mobile device's small form factor, may preclude local storage of large volumes of remotely stored data. However, this can be compensated for by selectively storing data in the cache memory according to user-specified parameters, allowing the mobile device to continue to have access to relevant information in the event that communication with the remote database is degraded or lost.

Abstract: A system and method for determining a set of visualization points from any given two-dimensional dataset to best describe a given visual analytic. A first user selection is received in a data processing apparatus for a chart. A chart type associated with the first user selection is identified for the chart. One or more visualization strategies are accessed from a strategy pool database based on the chart type. A second user selection is received in the data processing apparatus for a two-dimensional dataset from a data provider in communication with the data processing apparatus. The two-dimensional dataset is analyzed to determine a best strategy from the one or more visualization strategies accessed from the strategy pool database. Metadata representing the two-dimensional dataset is generated based on the best strategy, and a display representing the metadata is generated to visualize the two-dimensional dataset according to the best strategy.

Abstract: In an embodiment, a method is provided for displaying data arrays in a graphical user interface. In this method, a first data array and a second data array are accessed. Here, the second data array is nested in the first data array. The first data array comprises first data elements and the second data array comprises second data elements. A hierarchical tree structure of the first and second data arrays is constructed where the first data array is ranked higher than the second data array in the hierarchical tree structure based on the nesting of the second data array in the first data array. An arrangement of the first and second data elements is displayed in the graphical user interface, where the arrangement is based on the hierarchical tree structure.

Abstract: A system and method for determining a set of visualization points from any given two-dimensional dataset to best describe a given visual analytic. A first user selection is received in a data processing apparatus for a chart. A chart type associated with the first user selection is identified for the chart. One or more visualization strategies are accessed from a strategy pool database based on the chart type. A second user selection is received in the data processing apparatus for a two-dimensional dataset from a data provider in communication with the data processing apparatus. The two-dimensional dataset is analyzed to determine a best strategy from the one or more visualization strategies accessed from the strategy pool database. Metadata representing the two-dimensional dataset is generated based on the best strategy, and a display representing the metadata is generated to visualize the two-dimensional dataset according to the best strategy.

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 compliance score to indicate a level of compliance with dashboard design principles. The design principles may be tailored to a specific purpose and/or user.

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: In an embodiment, a method is provided for displaying data arrays in a graphical user interface. In this method, a first data array and a second data array are accessed. Here, the second data array is nested in the first data array. The first data array comprises first data elements and the second data array comprises second data elements. A hierarchical tree structure of the first and second data arrays is constructed where the first data array is ranked higher than the second data array in the hierarchical tree structure based on the nesting of the second data array in the first data array. An arrangement of the first and second data elements is displayed in the graphical user interface, where the arrangement is based on the hierarchical tree structure.

Abstract: A system and method for determining a set of visualization points from any given two-dimensional dataset to best describe a given visual analytic. A first user selection is received in a data processing apparatus for a chart. A chart type associated with the first user selection is identified for the chart. One or more visualization strategies are accessed from a strategy pool database based on the chart type. A second user selection is received in the data processing apparatus for a two-dimensional dataset from a data provider in communication with the data processing apparatus. The two-dimensional dataset is analyzed to determine a best strategy from the one or more visualization strategies accessed from the strategy pool database. Metadata representing the two-dimensional dataset is generated based on the best strategy, and a display representing the metadata is generated to visualize the two-dimensional dataset according to the best strategy.