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Dashboard Tiles

Dashboard Tiles

After adopting general dashboard design and creation details, this tutorial describes how to create all visual details on the dashboard elements (tiles) for best visualization of data and give end-users clear and easy-to-understand status of business important values and indicators.

Dashboard could display 2 group of visual elements, Chart and Key Performance Indicators (KPIs).

Charts

Line Chart, most appropriate to show time related data.

Column Chart, most appropriate to show multiple series data.

Pie Chart, most appropriate to show single data with one-series data.

List, most appropriate to show ordered list with names and numbers.

Geo Map, most appropriate to show data related to geography ( world countries and regions )

Charts

Standard KPI - shows KPI icon, KPI value, last change and optionally small line chart that describes previous KPI values.

Gauge Meter is KPI presentation with Gauge visualization, giving feeling to end user, how much current value is successful.

Scorecards - Group of KPIs on the same list with current attributes.

Data usage within tiles (Categories and series)

After drag-and-drop tile to dashboard, click to edit tile (Pen icon), choose dashboard title and select or create analysis/query that will feed current tile with data we like to visualize. Essentially, each dashboard tile is receiving data in the format of categories and series. Column and line charts could accept many series of values, list chart accepts one or two series of values, while Pie chart, KPI and Gauge meter accepts only one series of values to visualize data.

‘Analysis’ data for dashboard tiles

Analysis created in Unique Dashboard BI could be used as data for dashboard tile. Analysis rows presents are categories while columns in analysis presents series. In this example ‘Month of Year’ presents categories, while ‘(Product) Subcategories’ present two series of values (‘Mountain bikes’ and ‘Road Bikes’).

When this analysis data is defined for dashboard tile, it will could be presented on these different ways using different visualizations (charts)