MicroStrategy's help videos provide a quick, easy introduction to creating
visual, highly interactive dashboards and analyzing your business data
using Visual Insight. To view these videos, see Data
About Visual Insight in Flash
Before You Begin
MicroStrategy 10 has updated the look and
feel of the Visual Insight interface and dashboards to support HTML5.
By default, dashboards that were created using an older version of Visual
Insight and Flash are updated to use HTML5 when upgrading to MicroStrategy
10. You can choose to create new dashboards in HTML5 or Flash, by defining
the default dashboard renderer in the Report
Services preferences. For an introduction to Visual Insight in HTML5,
see About Visual Insight.
With Visual Insight, you can create interactive dashboards
that allow users to explore their business data. You can quickly and easily
create a polished, presentation-quality dashboard without requiring a
lot of design time. For example, you can:
add visual representations of the data (called visualizations) to
the dashboard to make the data easier to interpret.
add, rearrange, or remove data from visualizations.
add filters to a dashboard, to allow users to choose the information
they want to display.
group data in the dashboard, allowing users to switch between and
explore subsets of the data.
pre-defined, presentation-quality formatting to quickly display your
data in a visually striking, interactive dashboard.
Dashboards open by default in Visual Insight Mode, where you can easily
drag and drop attributes and metrics to display data, create filters,
group data, and more. You can also maximize the amount of space available
for data display by viewing dashboards in Presentation
Mode, or view dashboards on an iPad with MicroStrategy Mobile.
In the image below, data is displayed in a dashboard using a Grid
visualization, which contains revenue, cost, and profit data for each
Call Center in a Region. Profit values of less than $300,000 are displayed
using a red background, while values of greater than $800,000 are displayed
in green. You can easily add data to the visualization, rearrange objects
in the grid, determine which regions are displayed in the grid, and so
The image below shows a Heat Map visualization in the same dashboard,
which displays the data using colored rectangles of different sizes and
colors depending on the cost and profit data for each Call Center. You
can format the colors used to display the rectangles, delete rectangles
from the display, and change how the size and position of the rectangles
For steps to create a dashboard, see Creating
For more information on the types of visualizations available to be
added to a dashboard, see the appropriate topic below:
||Density Map visualization:
You can display your data as areas on a map. The areas are automatically
displayed in different colors based on the population density of locations
of interest in the visualization.
||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.
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.
||Map visualization: You
can display the data as image or bubble markers on a map, then select
color, size, and other display options to visualize metric data. The
Map visualization allows users to quickly grasp relationships between
different geographic locations.
||Map with Areas
visualization: You can display the data as areas on a map, which
are color-coded based on the value of a metric. The Map with Areas
visualization allows users to view metric data across multiple geographic
regions and compare them at a glance.
You can display the data as a network of nodes, with lines between
the nodes representing relationships between attribute elements.
In addition, you can enable the following visualization:
||Image Layout visualization:
You can display your data using an image overlaid with colored areas
or bubble markers to allow users to quickly grasp relationships between
different locations, such as the foot traffic of aisles in a store
or sales data for regions on a map.