The Data-Driven Decision Making in Operations in Amsterdam is a specialized training course that equips professionals with analytical tools to improve operational decision-making.
From:
27-07-2026
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 Amsterdam provide professionals with the knowledge and analytical frameworks to apply data science and digital intelligence in operational strategy and performance management. Designed for managers, engineers, analysts, and decision-makers, these programs focus on how data can be transformed into actionable insights that enhance efficiency, reliability, and competitiveness across industrial and organizational operations.
Participants gain a thorough understanding of data-driven operational decision-making, exploring how analytics, machine learning, and business intelligence tools enable more accurate forecasting and resource allocation. The courses cover essential topics such as data collection and validation, KPI development, performance dashboards, and predictive analytics for process optimization. Through interactive workshops and real-world case studies, participants learn to interpret data effectively, evaluate operational risks, and design evidence-based solutions that support agile, informed decision-making.
These data analytics and operational intelligence training programs in Amsterdam integrate strategic planning with technical application. The curriculum emphasizes scenario modeling, digital transformation, and the use of automation and AI to enhance operational decision processes. Participants also explore key aspects of data governance, visualization, and cross-functional collaboration—ensuring data accuracy and transparency across departments. By combining theory with applied analytics, professionals gain the capability to make timely, data-backed decisions that drive continuous improvement.
Attending these training courses in Amsterdam offers participants an exceptional opportunity to learn from global experts and network within a city recognized for innovation and digital leadership. The interactive learning environment fosters collaboration, analytical thinking, and problem-solving. By completing this specialization, professionals will be equipped to integrate data-driven approaches into operational management—strengthening efficiency, boosting productivity, and positioning their organizations for sustainable success in a data-centric global marketplace.