Leveraging Big Data and Analytics for CEOs and Boards

Duration: 5 Days (40 Hours)
Level: Executive / Board Level
Delivery Mode: Classroom, Virtual, Hybrid

International Standards Alignment: OECD Principles of Corporate Governance, European Data Strategy, EU AI Act, General Data Protection Regulation (GDPR), ISO 38500 IT Governance, ISO 27001 Information Security, NIST Data Governance Framework, COBIT 2019, National Association of Corporate Directors (NACD-USA), Digital Directors Network (Europe), and World Economic Forum Data Governance Principles.
Course Overview
The digital economy has transformed data into one of the most valuable strategic assets for organizations. Boards and CEOs are increasingly expected to leverage big data, analytics, artificial intelligence, and predictive insights to drive innovation, improve decision-making, manage risks, and create sustainable competitive advantage.
This executive programme equips CEOs, Board Members, and senior leaders with the strategic knowledge required to govern data assets, oversee analytics initiatives, evaluate AI-driven opportunities, manage data-related risks, and foster data-driven cultures.
The programme focuses on board-level oversight rather than technical implementation and enables participants to understand how leading organizations in North America and Europe use data and analytics to improve strategic planning, operational performance, customer engagement, financial outcomes, and organizational resilience.
Participants will engage in executive simulations, boardroom analytics exercises, case studies, governance workshops, and a capstone project designed around real-world strategic challenges.

Training Outcomes
Upon completion of the programme, participants will be able to:
1. Understand the strategic value of big data and analytics.
2. Strengthen board oversight of data governance and analytics initiatives.
3. Integrate data-driven decision-making into strategic planning.
4. Evaluate analytics investments and digital transformation opportunities.
5. Establish effective data governance frameworks.
6. Oversee AI, machine learning, and advanced analytics initiatives.
7. Manage data privacy, cybersecurity, and regulatory risks.
8. Develop data-driven organizational cultures.
9. Improve board reporting through analytics dashboards and performance metrics.
10. Build a strategic roadmap for analytics-enabled growth and innovation.

Target Audience
• Board Chairpersons
• Non-Executive Directors
• Executive Directors
• Chief Executive Officers (CEOs)
• Chief Operating Officers (COOs)
• Chief Financial Officers (CFOs)
• Chief Information Officers (CIOs)
• Chief Digital Officers (CDOs)
• Chief Data Officers
• Chief Risk Officers (CROs)
• Audit and Risk Committee Members
• Regulators and Supervisory Authorities
• State-Owned Enterprise Executives
• Financial Institution Leaders
• Government Executives

Course Units and Sub-Units

Unit 1: Strategic Importance of Big Data and Analytics
Sub-Units
• Evolution of the Data Economy
• Big Data Fundamentals
• Strategic Value of Data Assets
• Data as a Competitive Advantage
• Data-Driven Business Models
• Board Responsibilities in Data Governance
• Analytics Maturity Models
• Global Trends in Data and Analytics
Unit 2: Data Governance and Board Oversight
Sub-Units
• Data Governance Principles
• Enterprise Data Governance Frameworks
• Data Ownership and Accountability
• Data Quality Management
• Data Stewardship Structures
• Board Data Governance Responsibilities
• Data Governance Policies
• Governance Best Practices
Unit 3: Data-Driven Strategic Decision-Making
Sub-Units
• Evidence-Based Decision Making
• Strategic Analytics Frameworks
• Executive Decision Models
• Scenario-Based Planning
• Predictive Analytics for Strategy
• Real-Time Decision Intelligence
• Analytics in Strategic Planning
• Decision Governance Frameworks
Unit 4: Business Intelligence and Executive Dashboards
Sub-Units
• Business Intelligence Fundamentals
• Executive Reporting Systems
• Board Performance Dashboards
• Key Performance Indicators (KPIs)
• Key Risk Indicators (KRIs)
• Data Visualization Principles
• Balanced Scorecards
• Dashboard Governance
Unit 5: Artificial Intelligence and Advanced Analytics
Sub-Units
• AI Fundamentals for Executives
• Machine Learning Applications
• Predictive Analytics
• Prescriptive Analytics
• Generative AI Opportunities
• AI Governance Frameworks
• Responsible AI Principles
• AI Risk Management
Unit 6: Customer, Market and Competitive Analytics
Sub-Units
• Customer Analytics
• Market Intelligence Systems
• Competitive Analytics
• Customer Experience Analytics
• Sentiment Analysis
• Digital Marketing Analytics
• Product Analytics
• Revenue Optimization Models
Unit 7: Financial Analytics and Performance Management
Sub-Units
• Financial Analytics Frameworks
• Profitability Analytics
• Revenue Forecasting Models
• Cost Optimization Analytics
• Capital Allocation Decisions
• Investment Analytics
• Risk-Adjusted Performance Measurement
• Board Financial Analytics Dashboards
Unit 8: Risk Analytics, Cybersecurity and Regulatory Compliance
Sub-Units
• Risk Analytics Frameworks
• Cybersecurity Analytics
• Fraud Detection Analytics
• Data Privacy Governance
• GDPR Compliance Requirements
• Data Ethics and Responsible Use
• Regulatory Technology (RegTech)
• Board Oversight of Data Risks
Unit 9: Building a Data-Driven Organization
Sub-Units
• Data Culture Development
• Change Management for Analytics
• Leadership and Digital Transformation
• Data Literacy for Executives
• Organizational Analytics Capability
• Talent and Skills Development
• Analytics Governance Structures
• Driving Organizational Adoption
Unit 10: Future of Data, Analytics and Digital Leadership
Sub-Units
• Emerging Data Technologies
• Internet of Things (IoT)
• Quantum Computing Implications
• ESG and Sustainability Analytics
• Smart Governance Systems
• Strategic Foresight and Analytics
• Digital Ecosystems
• Future Board Competencies

Day Time Session Methodology
Day 1 08:30 – 10:30 Unit 1: Strategic Importance of Big Data and Analytics Interactive Lecture
10:45 – 12:30 Unit 2: Data Governance and Board Oversight Executive Workshop
13:30 – 15:00 Data Governance Assessment Exercise Group Work
15:15 – 17:00 Case Study: Amazon, Netflix and Capital One Data Strategies Case Study Analysis
Day 2 08:30 – 10:30 Unit 3: Data-Driven Strategic Decision-Making Executive Workshop
10:45 – 12:30 Strategic Analytics Simulation Simulation
13:30 – 15:00 Unit 4: Business Intelligence and Executive Dashboards Interactive Session
15:15 – 17:00 Board Dashboard Design Workshop Group Exercise
Day 3 08:30 – 10:30 Unit 5: Artificial Intelligence and Advanced Analytics Expert Session
10:45 – 12:30 AI Governance and Risk Oversight Executive Discussion
13:30 – 15:00 Unit 6: Customer, Market and Competitive Analytics Workshop
15:15 – 17:00 Market Intelligence and Customer Analytics Exercise Simulation
Day 4 08:30 – 10:30 Unit 7: Financial Analytics and Performance Management Practical Workshop
10:45 – 12:30 Financial Analytics Dashboard Development Group Work
13:30 – 15:00 Unit 8: Risk Analytics, Cybersecurity and Regulatory Compliance Interactive Lecture
15:15 – 17:00 Cybersecurity and Data Breach Response Simulation Simulation
Day 5 08:30 – 10:30 Unit 9: Building a Data-Driven Organization Leadership Workshop
10:45 – 12:30 Unit 10: Future of Data, Analytics and Digital Leadership Executive Discussion
13:30 – 15:30 Capstone Project: Board Analytics and Digital Transformation Strategy Team Exercise
15:30 – 16:30 Team Presentations and Board Review Panel Presentation
16:30 – 17:00 Programme Evaluation and Certification Closing Session

Group Work Activities
Activity Objective
Data Governance Assessment Evaluate organizational data maturity
Board Dashboard Development Improve executive reporting
Analytics Strategy Development Align analytics with business goals
Data Risk Mapping Identify data-related risks
AI Governance Framework Design Strengthen AI oversight
Digital Transformation Roadmap Develop implementation strategy
International Case Studies
Case Study Learning Focus
Amazon Data-driven decision-making
Netflix Predictive analytics and personalization
Capital One Advanced analytics and customer intelligence
JPMorgan Chase AI governance and financial analytics
Siemens Industrial analytics transformation
Unilever Data-enabled strategic planning
Tesco Customer analytics and loyalty programmes
Airbus Big data for operational excellence
Simulation Exercises
Simulation Competencies Developed
Strategic Analytics Simulation Data-driven decision-making
Board Dashboard Review Exercise Performance oversight
AI Governance Board Meeting Technology governance
Market Intelligence Simulation Competitive strategy
Cybersecurity Incident Response Data risk oversight
Digital Transformation Leadership Exercise Change management
Capstone Project

Board-Level Data and Analytics Governance Simulation
Participants serve as members of a Board and Executive Committee overseeing a multinational organization facing:
• Rapid digital disruption
• Increasing competition
• Cybersecurity threats
• Regulatory scrutiny
• Data privacy challenges
• Pressure to improve performance through analytics

Capstone Deliverables
Teams will:
1. Assess organizational data maturity.
2. Review analytics capabilities.
3. Develop a data governance framework.
4. Design executive analytics dashboards.
5. Establish AI governance principles.
6. Develop a digital transformation roadmap.
7. Present recommendations to a mock Board Governance Panel.

Assessment Framework
Assessment Component Weighting
Pre-Programme Knowledge Assessment 10%
Class Participation and Engagement 10%
Data Governance Analysis Assignment 15%
Analytics Strategy Development Exercise 15%
Case Study Analysis 15%
Simulation Performance 15%
Capstone Project and Presentation 20%
Types of Assessments to Expect
Individual Assessments
• Data Governance Evaluation
• Analytics Readiness Assessment
• AI Governance Review
• Executive Dashboard Analysis
• Data Risk Assessment

Group Assessments
• Data Governance Framework Design
• Analytics Strategy Development
• Digital Transformation Planning
• AI Governance Policy Development
• Capstone Board Presentation
Practical Assessments
• Strategic Analytics Simulation
• Dashboard Development Exercise
• Cybersecurity Response Simulation
• Board Decision-Making Exercise
• Data Risk Mapping Workshop
• Executive Analytics Review
Certification Requirements
Requirement Standard
Attendance Minimum 80%
Participation in Simulations Mandatory
Completion of Group Exercises Mandatory
Capstone Project Submission Mandatory
Minimum Pass Mark 60%

Certification Award
Executive Certificate in Leveraging Big Data and Analytics for CEOs and Boards
CPD Credits: 40 Hours
International Alignment: OECD Corporate Governance Principles, NACD (USA), EU AI Act, GDPR, ISO 38500, ISO 27001, COBIT 2019, NIST Data Governance Framework, World Economic Forum Data Governance Principles, and European Digital Governance Standards.