top of page
%20(21)_edited_edi.png){kind=small}
Sector:
Cross-Industry – General
Technical Focus Area:
Operational Excellence & Performance (OPEX)
About the Course
Designed for the modern energy and industrial sector, the Maintenance Big Data and Strategic Optimization Methodologies Course (MITC1027) course offers deep-dive expertise in core leadership frameworks. A "Data-to-Decisions" program leveraging Big Data, IoT, and CMMS (Computerized Maintenance Management System) : capture and govern data, apply AI, operationalize predictive maintenance initiatives.
Learning Milestones
By the end of this course, participants will be able to:
• Reduce maintenance cost and downtime using cloud
• based Big Data, IoT, and CMMS.
• Map enterprise maintenance strategy to ISO frameworks (55000, 14224, 27001, 9001, 14001, 9000).
• Design PdM/CBM/RCM programs that target true failure modes and risk.
• Build high
• quality master data and telemetry pipelines for analytics and AI models.
• Prioritize work with data
• driven planning/scheduling and role clarity across teams.
• Implement KPI suites for performance, reliability, and cost (incl. alert thresholds).
• Perform lifecycle and economic evaluation (LCC, payback, NPV) for initiatives.
• Integrate RCFA with analytics to accelerate learning and prevent recurrence.
• Establish a continuous improvement loop that refines PPM/PdM frequencies automatically.
Professional Audience
• Maintenance Managers & Planners, Supervisors, Technicians
• Maintenance & Reliability Engineers, Materials/Stores Management
• CMMS/EAM Power Users and Data Owners
• Operations Leaders partnering with Maintenance
• Stakeholders in Maintenance Support (Finance, IT, Procurement)
Modular Syllabus
Strategy & Standards—Building the Data Backbone
Asset management context (what / Why of maintenance) aligned to **iso 55000
Course Dates & Prices
bottom of page