The Data-Driven Decision Making in Operations in Vienna is a professional training course designed to help participants leverage data analytics to make informed, efficient, and compliant operational decisions.
From:
22-06-2026
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 Vienna provide professionals with a comprehensive understanding of how to harness data, analytics, and evidence-based approaches to improve operational performance and strategic decision-making. Designed for operations managers, engineers, business analysts, and project leaders, these programs focus on equipping participants with the skills and tools needed to transform complex operational data into actionable insights that enhance efficiency, productivity, and organizational outcomes.
Participants explore the fundamentals of data-driven operations, including data collection, performance metrics, statistical analysis, predictive modeling, and visualization techniques. The courses emphasize practical strategies for integrating data analytics into day-to-day decision-making, identifying trends, mitigating risks, and optimizing processes. Through case studies, interactive workshops, and scenario-based exercises, attendees gain hands-on experience in analyzing operational datasets, generating insights, and making informed decisions that improve operational effectiveness and business performance.
These data-driven decision-making training programs in Vienna also highlight the use of advanced technologies such as IoT, business intelligence platforms, and real-time monitoring tools to enhance decision-making capabilities. Participants develop practical skills in designing dashboards, benchmarking performance, and implementing evidence-based operational strategies that align with organizational objectives and regulatory requirements. The curriculum balances theoretical frameworks with applied practice, ensuring professionals can translate analytical insights into actionable operational improvements.
Attending these training courses in Vienna offers a unique opportunity to learn from international experts and collaborate with peers from diverse industries and energy sectors. Vienna’s innovation-driven industrial and research environment provides an ideal setting for exploring cutting-edge approaches to data utilization and operational excellence. By completing this specialization, participants will be equipped to lead data-driven initiatives confidently—enhancing operational efficiency, supporting informed decision-making, and driving measurable improvements in performance and organizational outcomes.