KPI Dashboard

KPI Dashboard is the logical capability of presenting role-targeted, refresh-on-data product metrics — engineering velocity, change throughput, BOM coverage, quality and warranty KPIs, sustainability scores — in a visual interface designed for at-a-glance status reading and drill-down investigation. CIMdata defines a KPI as “a metric that is important to the business… One KPI can be made up by combining a number of other metrics.”

What it covers

• Role-tailored views — engineering manager, quality director, supplier-risk officer, executive.
• Live or near-live refresh against the federated data sources.
• Threshold and alert visualization — red/amber/green status, trendlines, sparklines.
• Drill-down from KPI tile into the source records (changes, parts, suppliers, field events).
• Embedded reporting — exports to PDF/Excel for stage-gate reviews.

Distinction from raw analytics

Product Analytics is the computation layer (queries, aggregates, predictive models). KPI Dashboards are the presentation layer that turns analytics into a tool people actually use. The KB tracks both because they have different implementations, different consumers, and different governance (semantic correctness lives in analytics; visual literacy lives in dashboards).

Relationships (see sidebar)

• Depends on Product Analytics for the underlying metrics.
• Supports Product Portfolio Planning, Quality Management, and NPI (gate reviews).
• Implemented by PLM-native dashboards (Teamcenter Active Workspace, 3DEXPERIENCE Dashboards, Aras Dashboards) and IoT-platform dashboards (Insights Hub, ThingWorx).