Description

This curriculum spans the technical, operational, and organisational challenges of integrating IT systems across the full asset lifecycle, comparable in scope to a multi-phase enterprise implementation involving EAM, GIS, and SCADA systems within a regulated utility environment.

Module 1: Strategic Alignment of IT Systems with Asset Management Objectives

Selecting enterprise asset management (EAM) system capabilities based on lifecycle coverage requirements for critical infrastructure assets such as bridges, water mains, or power distribution networks.
Defining integration points between capital planning systems and EAM platforms to ensure project delivery data informs asset condition models.
Establishing data governance roles to maintain consistency between financial depreciation schedules and physical asset lifecycle stages.
Assessing cloud versus on-premise deployment models for EAM systems in regulated utility environments with data sovereignty constraints.
Mapping asset classification schemas across departments to enable unified reporting while accommodating engineering, financial, and operational views.
Negotiating vendor contracts for EAM platforms with provisions for long-term data export formats and API stability guarantees.

Module 2: Data Architecture and Integration for Multi-System Environments

Designing middleware solutions to synchronize asset hierarchies between GIS, SCADA, and EAM systems without creating circular data dependencies.
Implementing change data capture (CDC) mechanisms to propagate equipment modifications from engineering design tools to maintenance management systems.
Resolving conflicting asset identifiers across legacy systems by deploying a master data management (MDM) layer with reconciliation workflows.
Configuring secure API gateways for bidirectional data exchange between mobile inspection applications and central asset registries.
Developing data quality rules to validate inspection readings against known operational thresholds before ingestion into asset health models.
Architecting historical data retention policies that balance regulatory compliance with performance requirements for time-series analytics.

Module 3: Condition Assessment and Predictive Maintenance Systems

Integrating non-destructive testing (NDT) results from third-party vendors into asset health scoring algorithms with documented uncertainty margins.
Configuring automated work order triggers based on threshold breaches in vibration, thermal, or corrosion monitoring systems.
Selecting machine learning models for failure prediction based on availability and completeness of historical failure and intervention records.
Calibrating sensor deployment density in pipeline networks to achieve required fault detection rates within budget constraints.
Validating predictive model outputs against actual maintenance outcomes to adjust false positive rates and prevent unnecessary interventions.
Documenting assumptions in remaining useful life (RUL) calculations for audit and regulatory review purposes.

Module 4: Work Management and Operational Execution Systems

Designing mobile work package templates that enforce data capture requirements for compliance without impeding field technician productivity.
Implementing crew scheduling algorithms that account for skill certifications, equipment availability, and geographic clustering of tasks.
Configuring approval workflows for high-risk maintenance activities that require concurrent engineering and safety reviews.
Integrating parts consumption tracking with inventory management systems to trigger replenishment based on actual usage, not estimates.
Establishing audit trails for work order modifications to support forensic analysis after service disruptions.
Managing offline synchronization of mobile applications in remote locations with intermittent connectivity and defined conflict resolution rules.

Module 5: Financial Planning and Capital Investment Modeling

Linking asset condition data to deterioration models used in 10-year capital improvement program (CIP) forecasting.
Configuring scenario modeling tools to evaluate trade-offs between accelerated renewal programs and deferred maintenance costs.
Aligning EAM depreciation methods with municipal or corporate accounting standards for capital asset reporting.
Integrating risk-based prioritization outputs into budget allocation processes with transparent scoring criteria.
Validating funding requirement projections against historical execution rates to adjust for delivery risk.
Mapping asset replacement projects to funding sources with compliance tracking for grant-funded infrastructure.

Module 6: Regulatory Compliance and Risk Management Frameworks

Configuring automated alerts for upcoming regulatory inspections based on jurisdiction-specific compliance calendars.
Implementing document control systems to manage versioning of safety-critical procedures and certifications.
Designing audit-ready reporting packages that trace maintenance actions to regulatory requirements such as OSHA or EPA standards.
Mapping asset failure modes to organizational risk registers with documented mitigation controls.
Enforcing access controls on sensitive infrastructure data based on role-based permissions and least privilege principles.
Conducting periodic data integrity assessments to validate completeness of inspection and maintenance records for compliance audits.

Module 7: Performance Monitoring and Continuous Improvement

Defining KPIs for asset availability, maintenance cost per unit, and backlog aging with agreed-upon calculation methodologies.
Building executive dashboards that correlate maintenance spending with service level outcomes without oversimplifying causal relationships.
Implementing feedback loops from operational teams to refine work order planning assumptions and resource estimates.
Conducting root cause analysis on recurring work order delays using structured data from scheduling and execution systems.
Updating asset criticality rankings based on changes in service dependencies or community impact assessments.
Managing technical debt in custom integrations by scheduling refactoring cycles aligned with vendor upgrade timelines.

Module 8: Change Management and Organizational Adoption

Designing role-specific training programs that address workflow changes introduced by new EAM system configurations.
Establishing super-user networks to provide frontline support and gather feedback during system rollout phases.
Aligning performance incentives with data accuracy and system usage metrics without encouraging gaming of inputs.
Managing resistance from engineering teams when transitioning from paper-based to digital inspection workflows.
Coordinating cutover plans for legacy system decommissioning with parallel run periods to validate data integrity.
Documenting business process changes in standard operating procedures to maintain consistency after personnel turnover.