Analyzing Data Using Visualizations in a Quick Dashboard

A Visual Insight quick dashboard is a customized, interactive display that you can use to explore your business data. For example, you can sort and rearrange data in an interactive grid, perform manipulations on the data to display only the information you are interested in, and display visual representations of the data in the quick dashboard to make the data easier to interpret. Quick dashboards can be viewed in the Quick Dashboard Editor, or on an iPad with the XBR Ingenium mobile app.

A quick dashboard displays data from an underlying dataset in a streamlined interface designed to allow you to explore your data quickly and easily. Visual representations of the data, called visualizations, are added by the designer of the quick dashboard and are stored in the quick dashboard's definition.

In order to view quick dashboards, you must have:

Analyst privileges
The Edit Dashboard and Run Dashboard privileges

You can sort and pivot data in a visualization, filter your data by selecting attribute elements or metric values, display the data in interactive visualizations, quickly switch between different visual representations of the data, and so on. To analyze data using a specific type of visualization, click the appropriate link below:

Density Map visualization: You can display your data as areas on a map, which are automatically displayed in different colors based on the population density of locations of interest in the visualization.

Graph Matrix visualization: You can display the data in a chart containing one graph for every combination of the data you specify, allowing users to examine the data for each combination individually.

Grid visualization: You can display data in an interactive grid, allowing users to pivot, sort, move, drill, filter, and perform additional manipulations on data displayed in the grid.

Graph visualization: You can display the data in a graphical format and choose between a variety of different graphs, such as an area graph, line graph, or pie chart.

Heat Map visualization: You can display the data as a combination of colored rectangles. Each rectangle represents an attribute element, and is colored and sized according to the value of metrics in the visualization, allowing users to quickly grasp the state and impact of a large number of variables at one time.

Image Layout visualization: You can display your data as colored geographical regions or as map markers on the map, then change display options such as the color of regions on the map, to allow users to quickly grasp relationships between different locations.

Map visualization: You can display the data as geographical locations on a map, then change the color, size, and display of markers based on the value of a metric, to allow users to quickly grasp relationships between different locations.

Network visualization: You can display the data as a network of nodes, with lines between the nodes representing relationships between attribute elements.