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Maintenance Analytics

An Interactive 5-Day Training Course

Maintenance Analytics

Leveraging Analytics to Enhance Operational Efficiency

NASBA
Classroom Schedule
Date Venue Fees
08 - 12 Jun 2026 London $ 5,950
19 - 23 Oct 2026 London $ 5,950

Introduction

Maintenance Analytics is the application of data-driven techniques to optimize maintenance operations and enhance asset performance. This GLOMACS Maintenance Analytics 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.

Objectives

Upon completion of this Maintenance Analytics training course, participants will be able to:

  • Understand the fundamentals of maintenance analytics and its role in asset management.
  • Identify and collect relevant maintenance data for analysis.
  • Apply data analysis techniques to extract valuable insights from maintenance data.
  • Develop predictive maintenance models to optimize maintenance schedules.
  • Calculate key performance indicators (KPIs) to measure maintenance performance.
  • Utilize maintenance analytics to improve asset reliability and reduce maintenance costs.
  • Communicate analytical findings effectively to stakeholders.

Training Methodology

The training course will employ a blended learning approach, combining classroom instruction, hands-on exercises, and case studies. Participants will have the opportunity to work with real-world maintenance data using industry-standard analytics tools. The training course will be interactive, encouraging active participation and discussion among attendees.

Organisational Impact

By implementing maintenance analytics, organizations can expect the following benefits:

  • Increased equipment reliability and availability
  • Reduced maintenance costs through optimized maintenance schedules
  • Improved decision-making based on data-driven insights
  • Enhanced asset lifecycle management
  • Improved overall equipment effectiveness (OEE)
  • Enhanced risk management through predictive failure analysis
  • Increased operational efficiency and productivity

Personal Impact

Participants who complete this Maintenance Analytics training course will:

  • Develop a strong foundation in maintenance analytics and data-driven decision-making.
  • Gain practical skills in data collection, analysis, and interpretation.
  • Improve their ability to identify maintenance improvement opportunities.
  • Enhance their problem-solving and critical thinking skills.
  • Increase their value to the organization by contributing to cost savings and efficiency improvements.

Who should Attend?

This GLOMACS Maintenance Analytics training course is designed for professionals involved in maintenance and asset management, including:

  • Maintenance managers and supervisors
  • Reliability engineers
  • Asset management professionals
  • Maintenance planners and schedulers
  • Data analysts with an interest in maintenance
  • Engineers and technicians with maintenance responsibilities
  • Individuals looking to develop their data analytics skills for maintenance applications
Course 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 Sponsors, one CPE credit is granted per 50 minutes of attendance.
Providers and Associations

Endorsed Education Provider

NASBA

In Association With

Options & Brochure
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Frequently Asked Question

No. Saudi GLOMACS delivers courses in Saudi Arabia and internationally, including delivery across Europe and Asia. This allows organisations and professionals to access training both locally and abroad.

No. While governance and leadership are part of the portfolio, Saudi GLOMACS delivers training across the entire business and professional lifecycle, including administrative, technical, legal, regulatory, and sector-specific training.

Yes. Saudi GLOMACS designs and delivers bespoke in-house training tailored to organisational objectives, sector requirements, and workforce needs. Training can be delivered in Saudi Arabia or internationally, depending on requirements.

Courses delivered in Saudi Arabia are adapted to reflect local regulatory frameworks, organisational structures, sector conditions, and professional expectations. This ensures training is relevant, practical, and aligned with Saudi workplace realities.

GLOMACS has been delivering professional training for over thirty years, with courses delivered across Europe, the Middle East, Asia, and other international markets.

Saudi GLOMACS combines three decades of global training experience with a clear focus on Saudi market relevance. This allows it to deliver training that is both internationally credible and locally applicable, across a broader range of disciplines than niche or single-focus providers.

Saudi GLOMACS is a Saudi-based professional training provider delivering courses tailored to the Saudi market and applicable internationally. It operates within the global GLOMACS framework and draws on more than three decades of international training experience.

Saudi GLOMACS offers professional training across a wide range of disciplines, including administration, leadership and management, governance and regulation, law, oil and gas, energy, engineering, finance, digital technologies, and sector-specific specialisations.

Training supports professionals across all career stages, from operational roles to specialist and senior responsibilities.

Participants include professionals from public sector, semi-government, and private sector organisations, across a wide range of roles and industries. Attendees range from administrative and operational professionals to technical specialists, managers, and senior decision-makers.

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