The Data-Driven Decision Making in Operations in London is a results-oriented training course that teaches professionals to use analytics for operational excellence and smarter resource management.
From:
03-08-2026
From:
09-11-2026
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 London provide professionals with practical and strategic expertise to leverage data analytics for optimizing operational performance, enhancing efficiency, and driving informed business decisions. Designed for operations managers, business analysts, supply chain professionals, and executive leaders, these programs focus on integrating data insights into everyday operational strategies to achieve measurable outcomes.
Participants explore the core principles of data-driven decision making, including data collection, analysis, visualization, and performance measurement. The courses emphasize practical techniques for transforming complex operational data into actionable insights, identifying trends and inefficiencies, and applying predictive and prescriptive analytics to improve processes. Through case studies, interactive workshops, and simulation exercises, attendees gain hands-on experience in using data to inform strategic decisions, optimize resource allocation, and enhance productivity.
These operations analytics and decision-making training programs in London blend theoretical frameworks with applied practice, covering topics such as key performance indicators (KPIs), process optimization, predictive modeling, business intelligence tools, and data governance. Participants learn to align analytics initiatives with organizational objectives, develop data-informed strategies, and foster a culture of continuous improvement and accountability within operations. The curriculum also highlights emerging trends in AI-driven analytics, real-time data monitoring, and digital transformation in operational management.
Attending these training courses in London offers professionals the opportunity to engage with leading experts and international peers, sharing insights and best practices in data-driven operations management. London’s dynamic business and technological environment provides an ideal setting to explore advanced analytics applications and real-world operational challenges. By completing this specialization, participants will be equipped to implement data-driven strategies, optimize operational workflows, improve decision-making accuracy, and drive sustainable performance and competitive advantage in today’s data-centric business landscape.