The Data Analytics for Operations and Performance Monitoring in Brussels is a professional training course designed to equip participants with skills to use data analytics for monitoring and improving operational performance.
From:
27-04-2026
Course Overview
Data is a critical driver of operational success. Organizations that leverage analytics gain real-time insights, predict performance issues, and optimize processes for maximum efficiency. This Data Analytics for Operations and Performance Monitoring Training Course provides participants with the knowledge and hands-on skills to apply analytics in monitoring operations, identifying trends, and improving outcomes.
The course covers key concepts in descriptive, diagnostic, predictive, and prescriptive analytics. Participants will work with performance monitoring frameworks, dashboards, and KPIs, while exploring real-world case studies from manufacturing, energy, logistics, and services.
By the end of this program, attendees will be able to design and apply data-driven monitoring systems that enhance transparency, reduce risks, and support continuous improvement.
Course Benefits
Understand analytics applications in operational monitoring.
Develop performance dashboards and KPI frameworks.
Apply predictive analytics for proactive decision-making.
Improve process efficiency through data insights.
Build a culture of data-driven performance management.
Course Objectives
Explain fundamentals of data analytics in operations.
Use descriptive and diagnostic analytics for performance review.
Apply predictive analytics to forecast operational trends.
Build dashboards for real-time monitoring.
Design KPI systems linked to business strategy.
Use prescriptive analytics for process optimization.
Interpret case studies of analytics-driven operations.
Training Methodology
This course uses lectures, data analysis exercises, group discussions, and case-based simulations. Participants will work with sample datasets to build practical performance monitoring tools.
Target Audience
Operations and performance managers.
Data analysts and business intelligence professionals.
Process improvement and quality specialists.
Executives responsible for efficiency and monitoring.
Target Competencies
Data analytics for decision-making.
KPI development and monitoring.
Predictive and prescriptive analysis.
Operational performance management.
Course Outline
Unit 1: Introduction to Data Analytics in Operations
Role of data in modern operations.
Analytics maturity models.
Benefits and challenges of data-driven monitoring.
Case examples across industries.
Unit 2: Descriptive and Diagnostic Analytics
Fundamentals of descriptive analytics.
Identifying trends and root causes.
Variance and performance analysis.
Tools for historical performance reviews.
Unit 3: Predictive Analytics for Operations
Forecasting methods and models.
Applications in supply chain, energy, and manufacturing.
Identifying risks before they occur.
Practical exercises with predictive tools.
Unit 4: Prescriptive Analytics and Optimization
Prescriptive decision-making frameworks.
Resource allocation and scheduling optimization.
Using AI and machine learning for recommendations.
Case studies in operational optimization.
Unit 5: KPI Development and Performance Dashboards
Designing KPIs aligned to strategy.
Building interactive dashboards.
Real-time monitoring and reporting tools.
Benchmarking best practices in KPI systems.
Unit 6: Implementing Analytics in Operations
Data governance and quality management.
Integrating analytics with operational systems (ERP, IoT).
Change management for analytics adoption.
Challenges in scaling analytics.
Unit 7: Future Trends in Data-Driven Operations
Advanced analytics and AI integration.
Digital twins for performance monitoring.
Predictive maintenance with IoT.
Roadmap for analytics-enabled organizations.
Ready to unlock the power of data in operations?
Join the Data Analytics for Operations and Performance Monitoring Training Course with EuroQuest International Training and gain the skills to transform operational performance through analytics.
The Data Analytics for Operations and Performance Monitoring Training Courses in Brussels provide professionals with the analytical tools and strategic insight needed to improve operational efficiency, decision-making, and organizational performance. Designed for engineers, analysts, operations managers, and technical leaders, these programs focus on applying data-driven methods to monitor processes, evaluate performance, and support continuous improvement in complex operational environments.
Participants explore the fundamental concepts of data analytics, including data collection, data quality assessment, trend analysis, and performance metric development. The courses emphasize how operational data—from equipment monitoring systems, production workflows, maintenance logs, or service activities—can be transformed into actionable insights. Through case studies and practical exercises, attendees learn to interpret performance indicators, visualize operational trends, and identify inefficiencies or emerging performance issues before they escalate.
These operations analytics training programs in Brussels balance statistical techniques with real-world application. The curriculum includes topics such as process monitoring dashboards, predictive analytics for maintenance and reliability, performance benchmarking, workflow optimization, and reporting frameworks. Participants also gain exposure to digital tools and platforms commonly used in data-driven operations, providing hands-on experience with analytical workflows and decision-support systems.
The courses highlight the importance of communication and collaboration in leveraging data for operational excellence. Participants develop the ability to present insights clearly to technical and non-technical stakeholders, support informed decision-making, and foster a performance-oriented culture within their organizations.
Attending these training courses in Brussels allows professionals to learn in a globally connected environment known for its emphasis on innovation, industry collaboration, and knowledge exchange. By completing this specialization, participants will be equipped to harness data analytics more effectively—improving operational visibility, strengthening performance monitoring, and driving sustainable efficiency and reliability across their organization.