Page 31 - Unanet AE: Using Analytic Dashboard Designer

dashboard item area or element, and should be mapped to data to be displayed within
this area/element.

Mapping is performed using data items - objects that are used to bind a dashboard item
to data source fields. Data items are used to link the dashboard item to the required
data source fields and, thus, visualize data within the dashboard item.

Another key concept in data binding is the data item container, which represents a set
of data items. It can contain either a single data item or multiple data items, and allows
you to specify various options related to how a specific dashboard item visualizes data.

The data item can process data in two ways - as dimensions or measures. This
depends on the data section to which the data item is assigned, and the type of the data
item container.
• Dimension - a data item whose values are not intended to be summarized.
These values can be of any type - string, date-time or numeric. In any case, the
dashboard does not summarize the dimension values, but groups identical
values. You can perform grouping, sorting, or display the top values for the
dimension values.
You can also customize data format settings for numeric and date-time values.
To access the data shaping settings, use the data item's menu button.

For instance, dimensions are used to provide data for the chart argument axis,
pivot grid column and row headers.

• Measure - a data item whose values are summarized before they are used in the
dashboard. These values can be of any type - numeric, date-time or string. In
any case, the dashboard will calculate an appropriate summary function against
measure values. You can also customize the data format settings that affect how
summary values are displayed. To access these settings, use the data item's
menu button.

Lesson 2: Dashboard Design ©2024 Unanet. All rights reserved. 31