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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.