The Data Analytics for Operations and Performance Monitoring training course in Jakarta is designed for professionals looking to enhance operational efficiency and monitor performance using data analytics.
From:
31-08-2026
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 Jakarta offer professionals a comprehensive approach to leveraging data analytics for optimizing operational efficiency and monitoring business performance. These programs are designed for operations managers, performance analysts, business intelligence professionals, and executives who aim to enhance decision-making by using data-driven insights to improve business outcomes.
Participants gain a deep understanding of data analytics principles and tools used to evaluate operational performance, identify inefficiencies, and uncover opportunities for improvement. The courses focus on key topics such as performance metrics, KPI development, process optimization, and predictive analytics. Attendees will explore how to apply data analytics to monitor operations in real time, detect anomalies, and drive continuous improvement across all departments. Through practical exercises and case studies, participants learn how to use analytics tools to optimize workflows, reduce costs, and increase productivity.
These data analytics training programs in Jakarta integrate both theoretical knowledge and hands-on practice, equipping participants with the skills to work with data visualization tools, statistical models, and performance dashboards. Key areas of focus include operational efficiency analysis, resource allocation, supply chain optimization, and performance benchmarking. The courses also emphasize the role of data in fostering a culture of continuous improvement and data-driven decision-making at all levels of the organization.
Attending these training courses in Jakarta provides professionals with the opportunity to engage with leading experts in the field of data analytics while networking with peers from various industries. Jakarta’s vibrant business environment enhances the learning experience, offering insights into how data analytics can drive operational success in both local and global contexts. By completing this specialization, participants will be equipped to harness the power of data analytics to monitor, analyze, and optimize operations, leading to improved performance and strategic business growth.