Introduction
This training course prepares you to lead strategy with both vision and evidence. It is essential for leaders who must make bold decisions in complex, uncertain markets, where intuition alone is no longer enough. Over five days, you will explore what strategic leaders do, the qualities that set them apart, and how context shapes their impact. You will also learn to turn data into insight, so every strategic choice is sharper, faster and better justified.
You will apply analytics and artificial intelligence to market analysis, competitor intelligence, scenario planning and risk assessment, while understanding their limits and ethical implications. You will examine vision, culture, decision biases and top-team dynamics, and learn how to measure the outcomes of strategy on performance, innovation and social responsibility. You leave equipped to bridge the gap between strategy and performance, and to communicate data-driven recommendations that win stakeholder support. Real-life case examples and practical frameworks make every concept immediately usable.
This GLOMACS Strategic Leadership with Analytics and AI training course will highlight:
- What strategic leaders do and why their decisions matter
- Vision, culture, personal characteristics and decision-making biases
- Data analysis, KPIs, dashboards and visualisation for strategy
- AI for market analysis, competitor intelligence and scenario planning
- Strategic risk, ethics and measuring performance outcomes
Objectives
At the end of this training course, you will learn to:
- Evaluate the role of strategic leadership
- Distinguish management, leadership and strategic leadership
- Analyse data to inform strategic decisions
- Apply AI to scenario planning and risk
- Design data-driven strategies that improve performance
Training Methodology
This training course is highly participatory, combining formal presentations, discussions, sector-specific case studies and practical exercises. Real-life case examples are used to apply conceptual models and frameworks to organisational situations. Delegates experiment with analytics and AI approaches to turn data into actionable recommendations. The facilitator guides learning throughout, encouraging peer exchange and critical reflection.
Organisational Impact
The Organisation will have the following benefits;
- Strategic thinking embedded at all organisational levels
- Better decisions driven by data and insight
- Smarter resource allocation based on in-depth analysis
- Sharper competitive insight into markets and rivals
- Clearer link between strategy, decisions and performance
- Clearer communication of strategy to stakeholders
Personal Impact
At the end of this training course, the participants will gain the following;
- Stronger strategic thinking and leadership capability
- Greater confidence using analytics and AI tools
- Improved decision-making under complexity and uncertainty
- Sharper critical thinking and problem-solving skills
- Enhanced ability to communicate data-driven insights
- Broader career flexibility and senior-role readiness
Who should Attend?
Strategic leadership and data fluency now define effective senior decision-makers. This training course suits experienced professionals from any industry who help shape their organisation’s future.
This training course is suitable to a wide range of professionals but will greatly benefit:
- Senior managers and executives responsible for strategic decisions
- Managers moving into more senior or strategic roles
- Functional and operational managers integrating analytics into planning
- Business analysts, consultants and specialist managers
- Supervisors taking on additional strategic responsibilities
Strategic Leadership and Data-Driven Strategy Foundations
- Strategic leadership defined, why it matters and what distinguishes strategic leaders
- Leadership theories, leading versus managing, and assessing the role of strategic leaders
- Top management teams and the multiple functions of strategic leaders
- Core principles of strategic management in today’s business landscape
- How data has transformed decision-making across industries
- Key concepts and applications of data analytics and AI in strategy
- Ethical considerations of using data and AI in strategic management
- Challenges and opportunities associated with data-driven strategy
Strategic Leadership Actions and Mastering Data Analysis
- Setting strategic vision
- Building and sustaining an effective organisational culture
- The outcomes of strategic leadership functions
- Data collection techniques, including internal data sources, market research and customer surveys
- Data exploration and cleaning practices to ensure quality and accuracy
- Data visualisation techniques for communicating insights to stakeholders
- Identifying key performance indicators aligned with strategic objectives
- Dashboards and reporting tools for ongoing performance monitoring
Characteristics of Strategic Leaders and AI in Strategic Management
- Nature or nurture, the link between personality and leadership effectiveness, and leadership development
- Individual characteristics: the Big Five, charisma, motivation, and knowledge, skills and abilities
- Decision-making limitations and biases
- Group-level attributes: diversity, top-management team capabilities and interaction, and how strategic leaders shape behaviour
- AI technologies relevant to strategic management, including machine learning and natural language processing
- AI for market analysis, including customer segmentation and trend forecasting
- AI-powered tools for competitor intelligence
- Limitations of AI and the importance of human oversight in strategic decision-making
Environmental Context, Risk and Data-Driven Decisions
- The impact of context on strategic leadership, and how the external environment and strategic leadership shape each other
- Macroeconomic conditions, industry and competition variables, and socio-cultural features
- The internal organisational context: ownership, firm size, resource availability and complexity
- AI-enabled scenario planning by simulating future market conditions and potential outcomes
- Identifying and assessing strategic risks using a data-driven approach
- Strategies to mitigate identified risks and ensure business continuity
- Building data-driven decision models and using AI-powered tools for risk assessment and decision support
- Frameworks for data-driven decision-making and integrating them into strategic planning
Strategic Outcomes and Implementing Analytics and AI for Success
- Organisational performance: multidimensional economic and non-economic factors
- Strategic decisions: the process of strategy selection and the degree of risk taking
- Innovation and the role of leaders in the R&D productivity of organisations
- Social issues: emphasising ethical practices and incorporating societal trends
- Measuring the impact of data-driven strategies and bridging the gap between strategy and performance
- Integrating AI and analytics tools into the strategic planning process
- Translating data insights into actionable recommendations
- Communication strategies for presenting data-driven recommendations to stakeholders
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
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