Logo Loader
Course

|

The Data Analytics for Operations and Performance Monitoring course in Kuala Lumpur is designed to help professionals use data analytics to optimize operations and enhance performance monitoring.

Kuala Lumpur

Fees: 4700
From: 07-12-2026
To: 11-12-2026

Data Analytics for Operations and Performance Monitoring

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.

Data Analytics for Operations and Performance Monitoring

The Data Analytics for Operations and Performance Monitoring Training Courses in Kuala Lumpur are designed to empower professionals with the analytical skills needed to enhance operational efficiency, measure performance accurately, and support evidence-based decision-making. This specialization targets operations managers, performance analysts, engineers, and business leaders seeking to transform operational data into actionable insights.

Participants gain a comprehensive understanding of data analytics for operations, focusing on how structured and unstructured data can be used to monitor processes, identify inefficiencies, and improve performance outcomes. The programs emphasize practical analytical techniques such as descriptive and diagnostic analytics, performance dashboards, and key performance indicator (KPI) design. Through applied learning, participants develop the ability to collect, analyze, and interpret operational data across production, service, and support functions.

These operations analytics and performance monitoring training programs in Kuala Lumpur balance analytical theory with real-world application. Participants explore topics including process measurement, workflow optimization, variance analysis, and predictive insights for operational planning. Case studies and hands-on exercises enable participants to work with operational datasets, build meaningful visualizations, and communicate insights effectively to technical and non-technical stakeholders. The courses also highlight the role of digital tools and analytics platforms in enhancing transparency and real-time performance tracking.

The specialization further strengthens strategic alignment by linking operational analytics to organizational objectives. Participants learn how to integrate analytics into continuous improvement initiatives, support performance reviews, and guide resource allocation decisions. Emphasis is placed on data governance, accuracy, and consistency to ensure reliable performance reporting.

Attending the Data Analytics for Operations and Performance Monitoring courses in Kuala Lumpur offers an interactive, expert-led learning experience within a dynamic regional business environment. The city’s expanding analytics and technology ecosystem enriches professional exchange and global perspectives. By completing this training, participants emerge equipped to drive operational excellence, improve performance visibility, and sustain competitive advantage through data-driven operational management.