Seminar content

What you will learn

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

Benefits

Why attend this seminar

  • Build current, practical knowledge in data management and business intelligence.
  • Translate the course ideas into actions you can use immediately at work.
  • Review real schedule options across 12 venues and live dates.
  • Connect course detail, venue, and category routes in one workflow.

Methodology

How the course is delivered

  • Structured seminar input and guided discussion.
  • Applied examples using current business situations.
  • Focused explanations based on the stored overview and outline.
  • Clear next steps for implementation after the course.

Target audience

Who this is for

  • Professionals responsible for data management and business intelligence.
  • Managers, specialists, and team leads who need applied skills.
  • Participants looking for a focused route into Data Science for Operational Excellence.

Seminar details

Detailed outline

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

Dates and locations

Available seminar dates

50% DISCOUNT FOR GROUPS
0 dates
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Course certificate

Certificate awarded on completion

Every participant who completes this seminar receives a professional course certificate from INFORAMTECH.

  • Participants receive an INFORAMTECH certificate for completing Data Science for Operational Excellence.
  • The certificate recognises attendance and successful participation in the seminar.
  • It can support professional development records within data management and business intelligence and related functions.
Verify a certificate

Information about

Frequently asked questions

When is my seat confirmed?

Your seat is confirmed once full payment has been received.

Do you offer group discounts?

Yes, we offer the following discounts for group bookings:

  • 2 participants: 20% discount
  • 3 participants: 35% discount
  • 5 or more participants: 50% discount
Can discounts be combined with other offers?

No, discounts cannot be combined unless explicitly stated.

What payment methods do you accept?

We accept bank transfers, credit/debit cards, and selected online payment methods.

When do I need to pay?

Full payment must be completed before the course start date to secure your participation.

Is VAT included in the course fee?

VAT treatment depends on your location and status:

  • EU Companies (with valid VAT number): VAT may be reverse charged (0%)
  • EU Individuals (without VAT number): VAT is applicable based on local regulations
  • Non-EU Participants: VAT is generally not applicable (0%)
Can I get a VAT invoice?

Yes, all participants receive an official invoice. EU companies must provide a valid VAT number.

Can I cancel my registration?

Yes, cancellations must be submitted in writing.

What is your refund policy?
  • More than 14 days before the course: Full refund
  • 7-14 days before the course: 50% refund
  • Less than 7 days before the course: No refund
Can I transfer my seat to another person?

Yes, substitutions are allowed at no extra cost if requested before the course start date.

What happens if the course is postponed or canceled?

We reserve the right to reschedule or cancel a course due to unforeseen circumstances. In such cases, you may:

  • Transfer to another date
  • Receive full refund
Will I receive a certificate?

Yes, all participants will receive a certificate of completion after attending the course.

Is attendance mandatory?

Yes, full attendance is required to receive certification.

Are your courses online or in-person?

We offer both in-person and virtual (live online) training options.

Will course materials be provided?

Yes, all participants receive training materials in digital format.

Are travel and accommodation included?

No, participants are responsible for their own travel and accommodation unless otherwise stated.

Can you deliver customized or in-house training?

Yes, we offer tailored training programs based on your organization's needs.

How can I contact you for support?

You can reach us via email info@inforamtech.uk or through our contact form. Our team will respond promptly.

Testimonials

Course participant

The structure of Data Science for Operational Excellence made the topic practical and easy to apply immediately.

Course participant
Data Management and Business Intelligence
Seminar attendee

The venue and date options made planning the right session straightforward.

Seminar attendee
Venue on request
Learning manager

Clear content, relevant examples, and useful follow-up topics for the next training step.

Learning manager
Professional development

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