Continuing in our Performance Analytics series, we’re ending with Widget and Dashboards.
Widgets enable you to define visualizations for indicator scores. Widgets are shown on dashboards. A Performance Analytics widget ties an indicator to a visualization, such as a trend line, a set of columns, or a pie chart. Within the widget, you can filter or group indicator scores by breakdowns. You can also apply time series functions, such as 7-day sums, to the scores.
Below is the new Widget form. Default type is Time
The first step in creating a widget is to select the type of widget to create.
Widget type | Purpose | Typical Visualizations |
Time Series widget | Shows changes over time in indicator scores. | Line visualization is the most usual. Other visualizations are: spline, step, column, stacked column, area, and relative compare. |
Breakdown widget | Groups indicator scores by the elements of a breakdown. | Scorecard, pie and similar charts, funnel and pyramid, column and similar charts, relative compare, line, Pareto, pivot scorecard, and treemap. |
Score widget | Shows aggregate indicator scores. Can show an indicator score against a target. | Latest score, speedometer, real-time score. |
List widget | Lists the metrics for several indicators. | Scorecard, spider web. |
Pivot widget | Groups the scores of one indicator by the elements of two breakdowns. | Heatmap |
Text analytics | Visualizes word frequencies and groupings in the text that users enter in forms | Word cloud |
Workbench widget | Shows multiple indicators and their relations, to monitor a workflow or other process. | Workbench |
After creating your widget, open the Dashboard you want to add your new widget too. At the top right of the dashboard, click the icon with the + in a circle:
Then under Widget Category choice Performance Analytics. Then either search for your widget name using the filter or navigate using the Time series.
I hope this series has helped clarify the sequence of steps required to build a complete Performance Analytics solution starting from the Indicator Source and continuing all the way through to the final Dashboard visualization.
Thanks for reading!
