Global Learning for Operational Leaders
Course DMBI-014
Certificate in Big Data for Managers
Big Data has become a strategic asset that helps organizations improve decision-making, enhance customer experience, red... The outline covers Foundations of Big Data for Business Leaders, Data Analytics Lifecycle and Bu...
- 5 daysClassroom or online
- 17Upcoming dates
- 8Cities
- €1,625Fees from
Classroom
17 sessions
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Online / Live
17 sessions
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Introduction
Course overview
Big Data has become a strategic asset that helps organizations improve decision-making, enhance customer experience, reduce costs, and identify new growth opportunities. Managers do not need to be data scientists, but they must understand how data creates value, supports strategy, and drives competitive advantage. This course provides participants with practical knowledge of Big Data concepts, business applications, analytics processes, and leadership approaches for data-driven organizations.
What you will achieve
Learning objectives
- Understand Big Data concepts and business relevance
- Learn the data analytics lifecycle from discovery to action
- Identify opportunities for data-driven decision-making
- Understand structured and unstructured data sources
- Explore cloud and digital platforms supporting Big Data
- Apply Big Data use cases across industries
- Address privacy, governance, and ethical considerations
- Build strategies for creating value from data assets
Who should attend
Target audience
- Managers and Executives
- Department Heads
- Business Leaders
- Strategy Professionals
- Project Managers
- Digital Transformation Teams
- Anyone involved in data-driven decision-making
Methodology
Learning approach
- This course uses an interactive and practical approach through presentations, business case studies, group discussions, dashboards, strategy workshops, and real organizational 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 Big Data for Business Leaders
- Meaning of Big Data and why it matters
- Characteristics of Big Data: volume, velocity, variety, value
- Role of managers in data-driven organizations
- Coffee break
- Role of managers in data-driven organizations (continued)
- Big Data trends reshaping industries
- Understanding the business value of data
- Challenges and opportunities in Big Data adoption
Day 2
Data Analytics Lifecycle and Business Application
- Stages of the analytics lifecycle
- Discovery and business problem definition
- Data preparation and quality management
- Model planning and analytical thinking
- Coffee break
- Model planning and analytical thinking (continued)
- Model creation and validation concepts
- Communicating insights to decision-makers
- Moving analytics from planning into operations
Day 3
Big Data for Value Creation
- Data-driven decision-making frameworks
- Structured, semi-structured, and unstructured data
- Internal and external data sources
- Cloud computing and scalable data platforms
- Coffee break
- Cloud computing and scalable data platforms (continued)
- Financial value creation through data insights
- Non-financial value: customer service, efficiency, innovation
- Workshop: Identify data opportunities in your business
Day 4
Big Data Use Cases and Industry Lessons
- Big Data applications across sectors
- Marketing and customer analytics
- Supply chain and operational analytics
- HR and workforce analytics
- Coffee break
- HR and workforce analytics (continued)
- Risk management and fraud detection
- Lessons learned from successful implementations
- Data as a strategic organizational asset
Day 5
Governance, Privacy, and Future Readiness
- Data storage, sharing, and accessibility strategies
- Data privacy regulations and compliance principles
- Ethical use of analytics and AI
- Monetising data and revenue generation opportunities
- Coffee break
- Building a data culture within organizations
- Future trends in Big Data and automation
- Final case study and management action plan
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Certificate in Big Data for Managers. Can't find your answer?
What does Certificate in Big Data for Managers (DMBI-014) 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?
Managers and Executives, Department Heads, Business Leaders
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, Munich, Dubai, Cape Town, Barcelona, Paris.
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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