9 part series
An 8-part series on IBM Maximo Health covering health scoring, criticality modeling, Monitor and Predict integration, dashboards, automation, and governance for data-driven asset decisions.
Discover how IBM Maximo Health transforms scattered maintenance data into actionable health scores and risk indicators. Stop guessing which assets need attention first.
Deep dive into the Maximo Health data model -- how condition indicators, component scores, and weightings transform raw maintenance data into actionable health and risk metrics.
Step-by-step guide to enabling IBM Maximo Health in MAS -- prerequisites, activation, security configuration, asset onboarding, and the verification checklist that proves it actually works.
How to structure health components, map indicators, set weightings, define thresholds, and model criticality in Maximo Health. Includes safety-critical vs production-critical strategy patterns.
How to feed real-time IoT telemetry from Maximo Monitor and failure predictions from Maximo Predict into your Maximo Health models. Architecture, data flows, and governance.
How to design Maximo Health dashboards for executives, reliability engineers, and planners. Core KPIs, drill-down patterns, and portfolio views that turn health data into decisions.
How Maximo Health scores trigger inspections, prioritize backlogs, adjust PM frequencies, and feed capital planning. End-to-end use cases across manufacturing, utilities, and facilities.
How to scale Maximo Health from pilot to enterprise program. Rollout strategies, governance structures, common pitfalls, and real-world patterns from organizations that made Health permanent.
