The Data-Driven Decision Making in Operations in Brussels is a professional training course designed to equip participants with skills to leverage data analytics for informed operational decision-making.
From:
12-01-2026
From:
17-08-2026
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 Brussels offer professionals a practical and strategic foundation for using data to guide operational planning, performance improvement, and business alignment. Designed for operations managers, engineers, analysts, project leaders, and organizational decision-makers, these programs focus on the systematic use of data to enhance efficiency, reduce uncertainty, and support continuous operational development.
Participants explore the core principles of data-driven operations, including how to define operational metrics, collect and structure relevant data, and analyze performance trends. The courses highlight how evidence-based insights lead to more effective decision-making than intuition alone—especially in complex, fast-moving operational environments. Through case studies, simulations, and hands-on exercises, attendees learn to interpret analytical outputs, evaluate operational risks, and make decisions that improve workflow reliability and resource allocation.
These decision-making training programs in Brussels balance analytical methodologies with real-world application. The curriculum covers data interpretation, statistical reasoning, scenario and sensitivity analysis, and the integration of digital tools and dashboards for monitoring operational performance. Participants also explore performance review processes, predictive trend analysis, and data visualization techniques that support clarity and communication across teams.
The programs emphasize leadership in operational decision-making, ensuring participants are able to communicate analytical findings effectively, align decisions with strategic objectives, and foster organizational cultures that value transparency and continual improvement.
Attending these training courses in Brussels offers access to an international business environment where diverse perspectives and industry experiences contribute to a rich learning context. Brussels’ position as a center for collaboration and innovation further enhances professional exchange. By completing this specialization, participants will be equipped to apply data-driven methodologies to operational challenges—improving efficiency, strengthening performance oversight, and supporting smarter, more timely organizational decisions.