Beyond Gut Feel: An Analytics and AI Training Course for Strategic Managers
1Summary
Strategic decisions made on experience and intuition alone are getting riskier every year, simply because the competitors making them with precise data and AI-driven forecasting are moving faster. The Beyond Gut Feel: Analytics and AI Training Course for Strategic Managers, offered by the Arab British Fellowship Training Academy, was built to close that gap for professionals who plan, decide, and lead.
Participants start with the AI foundations relevant to business, then move through predictive forecasting, building vision and goals from data, the analyst's toolkit of AI platforms and unstructured-data techniques, and finally how to design an AI-ready strategic system and lead an organisation into a more data-intelligent future.
2Objectives and target group
Who Should Attend?
- Strategic planning officers and analysts in government and private institutions.
- Senior leadership and heads of corporate development or digital transformation.
- Business and strategy consultants, and executive decision-makers.
- Data and analytics professionals seeking to link their work to strategic performance.
Knowledge and Benefits:
After completing the programme, participants will be able to master the following:
- Apply advanced analytics concepts to support strategic decision-making.
- Use AI tools to analyse trends and forecast future business scenarios.
- Transform raw and unstructured data into actionable strategic insights.
- Evaluate strategic performance through accurate indicators and dashboards.
- Design an AI-driven system that supports the full strategy formulation cycle.
3Course Content
Module 1: Why Strategic Decisions Can No Longer Rely on Gut Feel
- The role of data in supporting long-term decisions.
- Comparing traditional analysis with big-data-driven analysis.
- Descriptive, diagnostic, predictive, and prescriptive analytics, and when to use each.
Module 2: AI Foundations for the Strategic Manager
- Core concepts of AI technologies and how they differ from machine learning and deep learning.
- Practical examples of AI applications in management.
- AI adoption trends across industries.
Module 3: Forecasting the Future: AI as a Predictive Tool
- Building predictive models for market and consumer behaviour.
- Scenario analysis and future forecasting techniques.
- Supporting strategic decisions with intelligent outputs.
Module 4: From Data to Direction: Vision, Goals, and Decision Models
- Strategic gap analysis and identifying opportunities and threats using data.
- Formulating measurable and achievable strategic objectives.
- Dashboards, KPIs, and multi-criteria decision-making tools.
Module 5: The Analyst's Toolkit: AI Tools and Unstructured Data
- Comparing free and commercial AI tools for strategic data analysis.
- Text analysis, digital content, and social media feedback.
- Extracting trends from open data sources and linking them to decisions.
Module 6: Building an AI-Ready Strategic System
- Steps to build an infrastructure that supports intelligent decision-making.
- Aligning corporate vision with technical analysis capability.
- Managing the cultural and technological shift this requires.
Module 7: Leading the Organisation Into a Data-Intelligent Future
- Developing a flexible business model supported by smart analytics.
- The role of leaders in guiding the organisation toward analytical intelligence.
- Progress indicators and continuous evaluation of strategic performance.