Strategy used to run on experience and gut feel. That era is closing fast: today's strategic decisions are judged on the data behind them, and increasingly, on the artificial intelligence models that turn that data into foresight. The Strategic Decision-Making with AI and Advanced Analytics training course, delivered by Arab British Fellowship Training Academy, is built for strategy professionals who need to make that shift — combining data science, predictive AI, and strategic planning into one practical toolkit.

Across the programme, participants work through how to read data patterns, apply AI to forecast scenarios, and turn raw information into strategic moves that hold up under pressure. The focus throughout is practical: strengthening the strategic planning cycle itself, sharpening performance evaluation, and building the kind of organisational agility that competitive markets now demand.

Who Should Attend?

• Strategic planning officers and analysts across government and private institutions.
• Senior leaders and heads of corporate development or digital transformation.
• Business and strategy consultants, along with executive decision-makers.
• Data and analytics professionals who want to connect their work to strategic performance.

Knowledge and Benefits

After completing the programme, participants will be able to:

• Apply advanced analytics concepts directly to strategic decision-making.
• Use AI tools to read trends and forecast future scenarios with more confidence.
• Turn raw data into strategic insight that's actually actionable.
• Evaluate strategic performance using accurate, data-backed indicators.
• Embed intelligent analytics into the full cycle of strategy formulation and execution.

Module 1: Why Data Beats Intuition in Strategic Decisions

• The role of data in supporting long-term strategic decisions.
• Traditional analysis versus big-data-driven analysis — what actually changes.
• Turning raw data into strategic insight with real value.

Module 2: A Field Guide to Strategic Analytics

• Descriptive, diagnostic, predictive, and prescriptive analytics explained.
• When — and why — to use each type.
• Real-world applications in market and organisational performance analysis.

Module 3: AI Fundamentals Every Strategist Needs

• Core concepts behind today's AI technologies.
• AI versus machine learning versus deep learning — the practical differences.
• Real examples of AI applications in management.

Module 4: Forecasting the Future — AI as a Predictive Strategic Tool

• Building predictive models for market and consumer behaviour.
• Scenario analysis and forecasting what's next.
• Feeding intelligent outputs into strategic decisions.

Module 5: From Data to Direction — Vision, Goals, and Decision Support

• Running a strategic gap analysis using data.
• Spotting opportunities and threats through analytics, then setting measurable objectives.
• Dashboards, KPIs, and multi-criteria tools that support the final call.
• Scenario analysis for choosing between competing strategic paths.

Module 6: Choosing and Using AI Analytical Tools

• The AI tools most used for strategic data analysis today.
• Free versus commercial tools — what the trade-offs actually are.
• Matching the right tool to the type of decision at hand.

Module 7: Beyond the Numbers — Reading Unstructured and Qualitative Data

• Text analysis, digital content, and social media feedback as strategic input.
• Pulling trends out of open data sources.
• Linking qualitative analysis back to strategic decisions.

Module 8: Building and Leading an AI-Driven Strategic Organisation

• Steps to build the infrastructure behind intelligent decision-making.
• Aligning corporate vision with the technical analysis behind it.
• Leading cultural and technological change, and developing a flexible, analytics-backed business model.
• Progress indicators for the continuous evaluation of strategic performance.