The Data-Driven Decision Making in Operations training course in Jakarta is designed for professionals seeking to enhance operational efficiency and make better decisions using data.
From:
07-12-2026
Course Overview
In modern organizations, decisions grounded in reliable data lead to greater efficiency, lower risks, and more consistent results. This Data-Driven Decision Making in Operations Training Course prepares participants to harness analytics, business intelligence, and performance metrics to strengthen daily and strategic operational choices.
The course covers descriptive, diagnostic, predictive, and prescriptive analytics as applied to operations. Participants will learn how to build KPI frameworks, interpret dashboards, apply scenario analysis, and evaluate data-driven strategies through real-world case studies.
By the end of the program, attendees will be able to design data-driven processes, interpret analytical results, and implement decision-making strategies that enhance competitiveness and efficiency.
Course Benefits
Understand data analytics in the decision-making process.
Apply predictive and prescriptive methods to operations.
Strengthen KPI and performance monitoring frameworks.
Use dashboards and visualization for real-time decisions.
Improve outcomes with data-supported strategic choices.
Course Objectives
Explain the role of data in operational decision-making.
Use descriptive and diagnostic analytics for insights.
Apply predictive models to forecast operational outcomes.
Design dashboards and visualization tools for managers.
Implement prescriptive analytics for optimization.
Align data-driven decisions with organizational strategy.
Evaluate case studies of data-driven operations.
Training Methodology
The course blends lectures, analytics workshops, case studies, and simulations. Participants will use datasets to practice real-world decision-making applications.
Target Audience
Operations managers and decision-makers.
Business intelligence and data analysts.
Process improvement and quality professionals.
Executives implementing data-driven strategies.
Target Competencies
Data analysis and interpretation.
Predictive and prescriptive decision-making.
KPI and dashboard development.
Strategic operations management.
Course Outline
Unit 1: Fundamentals of Data-Driven Decisions
Principles of evidence-based decision-making.
Role of analytics in operations.
Business benefits and challenges.
Case examples across industries.
Unit 2: Descriptive and Diagnostic Analytics in Operations
Tools for descriptive analysis.
Identifying performance trends and patterns.
Diagnostic methods for root cause analysis.
Case studies in operational analytics.
Unit 3: Predictive Analytics for Decision Making
Forecasting models and applications.
Anticipating risks and opportunities.
Predictive maintenance and demand forecasting.
Practical forecasting exercises.
Unit 4: Prescriptive Analytics and Optimization
Optimization frameworks for operations.
Resource allocation and scheduling.
AI and machine learning for prescriptive insights.
Real-world case studies of prescriptive decisions.
Unit 5: KPI Frameworks and Dashboards
Designing relevant KPIs for operations.
Linking KPIs to strategic goals.
Building dashboards for real-time decisions.
Benchmarking best practices.
Unit 6: Decision-Making Models and Tools
Structured decision-making frameworks.
Scenario analysis and what-if modeling.
Decision support systems.
Aligning analytics with managerial judgment.
Unit 7: Building a Data-Driven Culture
Leadership’s role in promoting data-driven thinking.
Overcoming resistance to analytics adoption.
Training and upskilling teams.
Roadmap for data-driven transformation.
Ready to strengthen your decision-making with data?
Join the Data-Driven Decision Making in Operations Training Course with EuroQuest International Training and gain the expertise to turn insights into smarter actions.
The Data-Driven Decision Making in Operations Training Courses in Jakarta are designed to equip professionals with the analytical mindset and practical tools required to transform operational data into actionable business insights. These programs are ideal for operations managers, business analysts, supply chain professionals, process improvement leaders, and executives who seek to enhance efficiency, responsiveness, and performance through evidence-based decision-making.
Participants gain a comprehensive understanding of data-driven operations management, focusing on how data collection, analysis, and interpretation support better planning, execution, and continuous improvement. The courses explore key concepts such as performance metrics, operational dashboards, process analytics, and predictive insights that enable organizations to identify trends, optimize workflows, and anticipate operational challenges. Through applied case studies and hands-on exercises, participants learn how to evaluate operational data, interpret analytical outputs, and integrate insights into day-to-day decision processes.
These data-driven operations training programs in Jakarta balance analytical frameworks with real-world application. Participants develop skills in data visualization, KPI analysis, and scenario evaluation to support operational planning and performance management. The curriculum also highlights the role of digital tools, automation, and analytics platforms in enhancing data accuracy, transparency, and decision speed across operations. Emphasis is placed on aligning analytics initiatives with strategic objectives and fostering a culture of evidence-based management.
Attending these training courses in Jakarta offers professionals an expert-led, interactive learning experience within a dynamic regional business and industrial hub. Jakarta’s diverse operational landscape enriches the learning environment through global perspectives and practical insights. By completing this specialization, participants will be equipped to apply data-driven decision-making confidently, improve operational efficiency, and drive sustainable performance improvements in complex and competitive organizational environments.