Abstract: A predictive model is employed to schedule preemptive queries based on frequently utilized query paths in hierarchically structured data. The predictive model determining queries likely to be executed by a user or organization is generated and dynamically modified based on user or organization profiles, usage history, and similar factors. Queries are then executed according to a predefined schedule based on the predictive model and results cached. Cached results are provided to a requesting user more rapidly saving network and computing resources.

Abstract: Architecture that establishes a set of gestural movements that can be made by a finger (by any other input device) on a touch display that allows a presenter to perform basic analytic functions of a data visualization such as a chart or a graph having one or more graphical elements for selection. The analytic functions can include changing the presentation format of the chart, choosing to include or exclude certain data, and/or displaying the details of a data point, for example. The gestures facilitate at least making changes to the chart (or graph) from one display method to another, such as to a pie chart, to a bar chart, to a line chart, etc., the selection of multiple elements of the data visualization, exclusion of all but selected elements therefrom, and the presentation of detailed information about an element.

Abstract: A predictive model is employed to schedule preemptive queries based on frequently utilized query paths in hierarchically structured data. The predictive model determining queries likely to be executed by a user or organization is generated and dynamically modified based on user or organization profiles, usage history, and similar factors. Queries are then executed according to a predefined schedule based on the predictive model and results cached. Cached results are provided to a requesting user more rapidly saving network and computing resources.

Abstract: Charts are automatically scaled based on contributing data members. A relatable context of scale is provided by presenting a select group of lowest data members as a combined group such as a combination bar in a bar chart in response to smaller screen size, display area, resolution, and comparable factors. Further information on combined data members may be provided in a condensed graphic format such as a histogram. Value axes of the chart are scaled automatically to enhance visibility and detail of combined data members.

Abstract: Architecture for communicating data values that enables visually impaired persons to perceive a non-image indicator corresponding to the data values. For example, an organized data set such as a chart or a graph can be displayed on a computer monitor or other user interface output component. A user employs a mouse or other user input component to select a data value from the organized data set. A non-image indicator such as an audible tone can be generated to correspond to the selected data value. A spread of audible tones corresponding to the organized data set is assigned across a range between a maximum data value and a minimum data value. A tonal separation is assigned between audible tones sufficient to enable the user to discern a pitch variation and corresponding change in data value.