Global Learning for Operational Leaders
Classroom
19 sessions
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Online / Live
19 sessions
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Introduction
Course overview
Why Attend
Operational excellence depends on efficient processes, reliable decisions, continuous improvement, and the ability to respond quickly to change. Data science enables organizations to uncover inefficiencies, predict outcomes, optimize resources, and improve performance using evidence rather than assumptions. This course provides participants with practical tools to apply data science concepts, analytics techniques, and digital technologies to achieve stronger operational results.
Course Methodology
This course uses an interactive and practical approach through presentations, case studies, analytics workshops, group discussions, dashboards exercises, process improvement activities, and real business examples.
Course Objectives
- Understand the relationship between data science and operational excellence
- Use data for smarter operational decision-making
- Improve data quality, governance, and reporting practices
- Apply analytics to optimize processes and workflows
- Use forecasting for planning capacity and resources
- Integrate Lean improvement with data-driven methods
- Build a sustainable culture of continuous improvement
- Align analytics initiatives with business strategy
Target Audience
- Operations Managers
- Process Improvement Professionals
- Business Analysts
- Supply Chain Managers
- Quality Managers
- Project Managers
- Anyone responsible for performance improvement and operations
Target Competencies
- Data Analysis
- Operational Excellence
- Process Optimisation
- Forecasting
- KPI Management
- Continuous Improvement
- Strategic Thinking
- Decision-Making
What you will achieve
Learning objectives
- Understand the relationship between data science and operational excellence
- Use data for smarter operational decision-making
- Improve data quality, governance, and reporting practices
- Apply analytics to optimize processes and workflows
- Use forecasting for planning capacity and resources
- Integrate Lean improvement with data-driven methods
- Build a sustainable culture of continuous improvement
- Align analytics initiatives with business strategy
Who should attend
Target audience
- Operations Managers
- Process Improvement Professionals
- Business Analysts
- Supply Chain Managers
- Quality Managers
- Project Managers
- Anyone responsible for performance improvement and operations
- Target Competencies
Methodology
Learning approach
- This course uses an interactive and practical approach through presentations, case studies, analytics workshops, group discussions, dashboards exercises, process improvement activities, and real business examples.
Course content
Five focused days of learning and application
Day 1
Foundations of Data Science and Operational Excellence
- Growth of data in modern organizations
- Principles of operational excellence
- Why data-driven decisions outperform intuition alone
- Sources of operational data: internal and external
- Descriptive, predictive, and prescriptive analytics overview
- Successes and failures of analytics in operations
- Key tools and technologies used in data science
- Building a data-driven culture foundation
Day 2
Tools, Techniques, and Data Management
- Data collection, storage, and governance essentials
- Improving data accuracy, consistency, and timeliness
- Data visualization for operational clarity
- Introduction to analytics platforms and tools
- Dashboards for real-time operational monitoring
- Statistical methods for process control and improvement
- Managing large datasets and unstructured information
- Ethical and responsible use of data
Day 3
Applying Data Science to Process Optimisation
- Using data to identify bottlenecks and waste
- Combining Lean Six Sigma with analytics
- Predictive analytics for demand and resource planning
- Machine learning concepts for workflow optimisation
- KPIs for operational excellence
- Practical exercise: analyse an operations dataset
- Supply chain optimisation through analytics
- Designing a data-led improvement roadmap
Day 4
Driving Continuous Improvement with Analytics
- Embedding analytical thinking across departments
- Advanced analytics for risk management and resilience
- Automation and AI opportunities in operations
- Presenting insights to decision-makers effectively
- Overcoming resistance to data adoption
- Building sustainable improvement systems
- Solving operational problems with data methods
- Reflection and workplace application planning
Day 5
Strategic Integration and Future Readiness
- Integrating data science into long-term operations strategy
- Aligning analytics with goals and performance targets
- Advanced forecasting for capacity, risk, and resources
- Scaling successful initiatives across business functions
- Governance for sustainable data-driven operations
- Continuous improvement through analytics maturity
- Final case study and action plan
- Course review and next steps
FAQ
Frequently asked questions
What does Data Science for Operational Excellence (DMBI-016) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 5 - 9 October 2026, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.
Who should attend this course?
Operations Managers, Process Improvement Professionals, Business Analysts
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Yes. The course detail page includes both classroom sessions and Online / Live sessions, with online options aligned to the same course dates for easier planning.
Where are classroom sessions delivered?
Current classroom venues include Istanbul, Kuala lumpur, Amsterdam, London, Geneva, Barcelona, Rome, Munich, Madrid.
How long is the training programme?
The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 accredited training hours.
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