An Interactive 5-Day Training Course

Maintenance Analytics

Leveraging Analytics to Enhance Operational Efficiency

Maintenance Analytics
2026
Venue
Date
Fee
London - UK
08-12 Jun 2026
$5,950
London - UK
19-23 Oct 2026
$5,950

Course Overview

Maintenance Analytics training course is the application of data-driven techniques to optimize maintenance operations and enhance asset performance. This training course provides a comprehensive overview of maintenance analytics, covering data collection, analysis, and interpretation to drive informed decision-making. 

Participants will learn how to leverage maintenance data to predict equipment failures, optimize maintenance schedules, and reduce downtime. Through a combination of theoretical knowledge and practical exercises, attendees will develop the skills necessary to implement maintenance analytics within their organizations.

Training Outline

DAY 1: Introduction to Maintenance Analytics and Data Collection
  • Introduction to maintenance analytics and its benefits
  • Importance of data-driven decision making in maintenance
  • Identifying key performance indicators (KPIs) for maintenance
  • Data sources and types relevant to maintenance (CMMS, ERP, IoT sensors, etc.)
  • Data quality and cleansing techniques
  • Data exploration and visualization using sample maintenance data
  • Introduction to data visualization tools (e.g., Excel, Power BI, Tableau)
  • Creating basic visualizations (charts, graphs, dashboards) to understand maintenance patterns
DAY 2: Descriptive and Diagnostic Analytics
  • Descriptive statistics for maintenance data (mean, median, mode, standard deviation)
  • Data distribution analysis (histogram, box plot)
  • Correlation analysis to identify relationships between variables
  • Time series analysis for maintenance data (trend analysis, seasonality)
  • Root cause analysis techniques (5 Whys, Pareto analysis)
  • Failure mode and effects analysis (FMEA)
DAY 3: Predictive Analytics and Machine Learning
  • Introduction to predictive modeling and its applications in maintenance
  • Data preparation for predictive modeling (feature engineering, normalization)
  • Overview of machine learning algorithms for maintenance (regression, classification, clustering)
  • Model evaluation metrics (accuracy, precision, recall, F1-score)
  • Building a predictive maintenance model using a machine learning tool (e.g., Python, R)
  • Model deployment and monitoring
DAY 4: Prescriptive Analytics and Optimization
  • Introduction to prescriptive analytics and optimization
  • Optimization techniques for maintenance scheduling (linear programming, integer programming)
  • Simulation modeling for maintenance planning
  • Risk-based maintenance (RBM)
  • Implementing prescriptive analytics to optimize maintenance operations
  • Challenges and opportunities in applying prescriptive analytics
DAY 5: Implementation and Organizational Change
  • Developing a maintenance analytics roadmap
  • Change management and stakeholder engagement
  • Overcoming challenges in implementing maintenance analytics
  • Return on investment (ROI) measurement
  • Continuous improvement and monitoring of maintenance analytics
  • Best practices for maintenance analytics
Certificates
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
  • Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

Providers and Associations

Oxford Management Centre
PetroKnowledge
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About GLOMACS

About Saudi Glomacs

At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.

With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.

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