The Data-Driven Decision Making in Operations course in Budapest is designed to help professionals use data analytics to drive informed decisions and optimize operational performance.
From:
23-02-2026
From:
10-08-2026
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 Budapest provide professionals with the analytical frameworks and practical techniques needed to enhance operational performance using data insights. These programs are designed for operations managers, analysts, project leaders, and business professionals who aim to align decision-making processes with accurate, timely, and relevant data.
Participants explore the essential role of data-driven decision making in optimizing workflows, improving resource allocation, and strengthening organizational efficiency. The courses introduce key concepts such as data collection strategies, performance metrics, KPI development, and statistical interpretation. By working with real business cases, participants learn how to analyze operational data, identify performance gaps, and derive actionable recommendations that support continuous improvement.
These decision-making and operations analytics training programs in Budapest emphasize the integration of analytical thinking into everyday operational processes. Participants gain experience in using digital tools and visualization platforms to transform complex data sets into understandable dashboards and reports. The curriculum also covers predictive and scenario-based analysis, enabling professionals to anticipate operational challenges, evaluate alternatives, and select strategies that align with organizational goals.
A strong focus is placed on organizational communication and collaboration. Participants learn how to present data insights effectively, support evidence-based discussions, and build stakeholder confidence in data-driven strategies. The training balances theoretical foundations with interactive workshops and group exercises that encourage application and knowledge retention.
Attending these training courses in Budapest offers professionals an engaging learning environment enriched by diverse industry perspectives and expert instruction. The city’s growing reputation as a hub for innovation and professional development enhances the experience, providing both academic and practical value. By completing this specialization, participants will be equipped to apply data-driven decision frameworks confidently—improving operational reliability, enhancing strategic alignment, and generating measurable organizational outcomes in today’s competitive global landscape.