Data Visualization

Visualization is how collected scores become insight. In the modern experience this is the Analytics Center and Platform Analytics workspace; the building blocks below apply in both classic dashboards and the unified workspace.

Widgets and visualizations

A widget is a configured visualization of one or more indicators. Widget/visualization types you should recognize:

• Time series chart — the score history line; the signature PA visualization.
• Score / single-score and real-time score widgets — show the latest collected value, or a live (on-the-fly) value.
• Scorecard — a detailed analytical view of a single indicator with its trend, targets, thresholds, comparisons, and breakdowns; you can pivot a scorecard by a breakdown.
• List / pivot widgets — tabular and cross-tabulated views, including breakdown pivots.
• Dial, column, pie, and comparison visualizations for at-a-glance status.

Scorecards

The scorecard is the deep-dive analytical tool for one indicator. It shows the time series, applied targets and thresholds, breakdowns (with the ability to drill into elements), trendlines, and statistics. From a scorecard you can drill through a score to its snapshot records. Scorecards are where analysts spend most of their investigation time.

Targets, thresholds, and trendlines

• A target is a goal value for an indicator (e.g., resolve 95% within SLA). Targets appear as a reference line and color the indicator according to whether you are meeting the goal, factoring in the indicator's direction of improvement.
• A threshold defines a condition (a comparison against a value) that, when crossed, signals a status or can trigger a notification/action. Thresholds drive conditional coloring and alerting.
• A trendline is a calculated line (e.g., moving average or linear trend) overlaid on the time series to reveal direction beyond period-to-period noise.

Dashboards and the Analytics Center

Dashboards assemble multiple widgets onto tabs for an audience. In Platform Analytics, dashboards, reports, and PA content come together in the Analytics Center workspace, giving a single place to find and view analytics. KPI Signals proactively surface notable changes/anomalies in your indicators, and KPI Details provides the in-depth, scorecard-style analysis view for a KPI. Responsive dashboards and the workspace experience are the current-release direction; classic dashboards still exist for older content.