The Data Analytics for Operations and Performance Monitoring in London is a hands-on training course designed to help professionals use analytics to streamline operations and enhance performance tracking.
From:
09-03-2026
From:
04-05-2026
From:
16-11-2026
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 London provide professionals, operations managers, and business leaders with practical knowledge and skills to leverage data for optimizing operational efficiency and monitoring organizational performance. These programs focus on equipping participants with analytical tools and techniques to transform raw operational data into actionable insights that drive informed decision-making and continuous improvement.
Participants explore the principles of data analytics in operations, including key performance indicators (KPIs), process monitoring, predictive analytics, and data visualization. The courses emphasize how data-driven insights can enhance productivity, reduce operational risks, and support strategic planning. Through interactive workshops, scenario-based exercises, and real-world case studies, attendees learn to collect, analyze, and interpret operational data, identify performance gaps, and implement solutions that improve efficiency and effectiveness across processes.
These operations and performance analytics training programs in London combine theoretical frameworks with applied practice, covering topics such as process optimization, dashboard design, workflow analysis, business intelligence tools, and reporting strategies. Participants gain practical tools to monitor operational performance, evaluate trends, and support evidence-based decisions. The programs also highlight emerging trends in advanced analytics, AI-driven process monitoring, real-time data tracking, and predictive modeling for proactive operational management.
Attending these training courses in London provides professionals with the opportunity to engage with data analytics and operations experts while networking with peers from diverse industries. London’s dynamic business ecosystem offers exposure to advanced analytical tools, operational best practices, and real-world applications in performance monitoring. By completing this specialization, participants emerge equipped to lead data-driven operational initiatives confidently, implement effective performance monitoring systems, and drive continuous improvement, efficiency, and strategic success in today’s fast-paced and competitive business environment.