Global Learning for Operational Leaders
Course DMBI-016
Data Science for Operational Excellence
Operational excellence depends on efficient processes, reliable decisions, continuous improvement, and the ability to re... The outline covers Foundations of Data Science and Operational Excellence, Tools, Techniques, an...
- 5 daysClassroom or online
- 17Upcoming dates
- 9Cities
- €1,845Fees from
Classroom
17 sessions
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Online / Live
17 sessions
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Introduction
Course overview
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.
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
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.
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
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
- Coffee break
- 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
- Coffee break
- Introduction to analytics platforms and tools (continued)
- 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
- Coffee break
- KPIs for operational excellence (continued)
- 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
- Coffee break
- Overcoming resistance to data adoption (continued)
- 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
- Coffee break
- Governance for sustainable data-driven operations
- Continuous improvement through analytics maturity
- Final case study and action plan
- Course review and next steps
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Data Science for Operational Excellence. Can't find your answer?
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 9 - 13 November 2026. See the course schedules section for the available dates and delivery formats.
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?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Amsterdam, London, Kuala lumpur, Dubai, Barcelona, Geneva, Rome, Munich, Madrid.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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