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Information Technology in Infrastructure Asset Management

$249.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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This curriculum spans the technical, organizational, and operational challenges involved in aligning IT systems with asset management across an enterprise, comparable to a multi-phase internal capability program addressing data integration, system configuration, and change management in regulated infrastructure environments.

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

  • Define integration requirements between enterprise asset management (EAM) systems and corporate financial planning cycles to ensure capital investment decisions reflect asset condition data.
  • Select performance indicators that bridge IT system outputs (e.g., asset downtime logs) with strategic reliability targets.
  • Negotiate data ownership protocols between IT and operations departments when deploying centralized asset dashboards.
  • Map legacy asset classification schemas to ISO 55000-compatible hierarchies during system migration.
  • Establish escalation paths for discrepancies between field-reported asset conditions and system-generated risk scores.
  • Conduct gap analysis between existing IT capabilities and regulatory reporting obligations for asset safety and environmental compliance.

Module 2: Data Architecture and Integration in Asset-Centric Systems

  • Design data pipelines that synchronize real-time sensor feeds (e.g., vibration, temperature) with EAM work order statuses.
  • Implement master data management rules for asset identifiers across GIS, SCADA, and procurement systems.
  • Resolve schema conflicts when integrating third-party vendor data (e.g., OEM maintenance logs) into internal asset histories.
  • Configure middleware to handle asynchronous updates between mobile inspection apps and central databases in low-connectivity environments.
  • Apply data retention policies that balance audit requirements with storage cost constraints for high-frequency monitoring data.
  • Validate referential integrity when decommissioning legacy systems that contributed to asset lifecycle records.

Module 3: Selection and Configuration of Enterprise Asset Management Platforms

  • Customize workflow engines in EAM systems to reflect jurisdiction-specific permitting processes for high-risk asset interventions.
  • Configure role-based access controls that restrict modification rights for critical asset parameters (e.g., safety interlock settings).
  • Adapt preventive maintenance logic to accommodate mixed fleets with varying OEM service intervals.
  • Integrate calibration management modules with metrology labs to automate certificate tracking and expiry alerts.
  • Define synchronization frequency between EAM and inventory systems for critical spare parts with long lead times.
  • Implement audit trails for changes to asset criticality ratings used in prioritization algorithms.

Module 4: Geospatial Systems and Asset Location Intelligence

  • Validate positional accuracy of field-collected GPS data against cadastral surveys for underground infrastructure.
  • Configure topological rules in GIS to prevent invalid network connections (e.g., orphaned water valves).
  • Design attribute domains that enforce standardized material codes across pipeline and cable assets.
  • Integrate aerial LiDAR data into vegetation management workflows for transmission corridors.
  • Develop buffer zones in GIS to trigger compliance checks for excavation permits near high-pressure pipelines.
  • Maintain version-controlled historical snapshots of network configurations for incident root cause analysis.

Module 5: Predictive Analytics and Condition Monitoring Systems

  • Deploy edge computing devices to preprocess sensor data and reduce bandwidth usage from remote sites.
  • Select threshold models for equipment failure alerts that minimize false positives without increasing risk exposure.
  • Validate model drift in machine learning algorithms used for remaining useful life estimation.
  • Integrate oil analysis results with vibration trends to refine gearbox failure prediction accuracy.
  • Define escalation procedures when automated diagnostics conflict with field technician assessments.
  • Document assumptions in predictive models for regulatory audits of safety-critical systems.

Module 6: Cybersecurity and Resilience in Operational Technology Environments

  • Segment OT networks to isolate safety instrumented systems from corporate IT domains.
  • Implement secure remote access protocols for third-party vendors performing control system maintenance.
  • Conduct vulnerability assessments on legacy PLCs that cannot support modern encryption standards.
  • Define patch management windows for control systems that require continuous operation.
  • Establish backup procedures for configuration files of field devices with proprietary firmware.
  • Test incident response playbooks for ransomware scenarios affecting asset monitoring capabilities.

Module 7: Change Management and System Adoption in Asset Organizations

  • Redesign work order closure procedures to enforce data entry discipline without increasing technician workload.
  • Develop offline-capable mobile applications for inspectors operating in remote or underground environments.
  • Negotiate shift handover protocols that ensure continuity of digital logbook entries.
  • Address resistance to automated scheduling by involving supervisors in algorithm tuning for crew assignments.
  • Translate system downtime metrics into operational impact statements for frontline staff communication.
  • Establish feedback loops between field users and IT support to prioritize enhancement requests.

Module 8: Lifecycle Management and System Evolution Planning

  • Conduct technical debt assessments for custom EAM integrations before major platform upgrades.
  • Plan data migration strategies for assets transitioning from manual tracking to RFID-based monitoring.
  • Define exit criteria for retiring on-premise servers in favor of cloud-hosted asset analytics platforms.
  • Evaluate vendor roadmaps for compatibility with emerging standards (e.g., digital twin interoperability).
  • Structure contracts with OEMs to ensure access to diagnostic data throughout the asset lifecycle.
  • Archive decommissioned asset records in formats compliant with long-term legal retention requirements.