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Platform & Automation · Now Intelligence (AI & Analytics)

Performance Analytics

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Implementation path

What it is (plain English)

Turns the data your workflows generate into KPIs, trends, and dashboards that leaders actually use — tracking metrics over time (not just today's snapshot), setting targets, and spotting whether things are improving or sliding. It's the measurement layer for continual improvement.

Problems it solves

  • Reports that show today's numbers but no trend or trajectory.
  • No agreed KPIs or targets to manage against.
  • Manual, time-consuming reporting assembled from raw lists.
  • Improvement initiatives with no way to prove impact.

What must exist first

Platform Core Setup and a workflow producing data worth measuring (any of the modules in this wiki). Time-series value builds as data accumulates.

What the customer needs to provide

  • The KPIs and targets that matter to your business.
  • Who owns each metric and reviews the dashboards.
  • The cadence and audience for reporting.
  • Definitions/agreement on how each metric is calculated.

Where it can go next

Measures and improves any live process (ITSM, CSM, HRSD, SPM, etc.); underpins service-improvement programs; complements Predictive Intelligence with the "how are we doing" view.