The Data Analytics for Operations and Performance Monitoring in Paris is a professional training course for operations managers and analysts.
From:
09-03-2026
From:
06-07-2026
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 Paris equip professionals with the analytical tools, digital techniques, and performance measurement frameworks necessary to enhance operational efficiency across engineering and industrial environments. Designed for engineers, operations managers, data analysts, and performance specialists, these programs provide a comprehensive understanding of how data-driven insights support smarter decision-making, optimized workflows, and continuous operational improvement.
Participants develop a solid foundation in data analytics applications for operations, learning how to collect, organize, and interpret large datasets generated by equipment, sensors, digital platforms, and industrial processes. The courses explore key concepts such as performance indicators, root cause analysis, predictive insights, and automated reporting. Through practical exercises and real-life case studies, attendees gain experience using analytical tools to identify performance gaps, streamline processes, and support more proactive operations management.
These operations analytics and performance monitoring training programs in Paris integrate statistical methods, visualization techniques, and digital technologies, enabling participants to transform raw operational data into meaningful business intelligence. Topics include dashboard development, real-time monitoring, anomaly detection, and the use of analytics to support reliability, maintenance planning, and resource optimization. The curriculum also highlights the role of digital transformation in modern operations, emphasizing how data enhances strategic planning and cross-functional collaboration.
Attending these training courses in Paris provides professionals with a dynamic environment to learn from industry experts and exchange best practices with peers from around the world. The city’s advanced industrial and technological landscape enriches the training experience and supports exposure to global approaches in data-driven operations. Upon completing this specialization, participants will be well-equipped to implement effective analytics programs, strengthen performance monitoring capabilities, and lead operational improvement initiatives that contribute to smarter, more efficient, and resilient engineering operations.