The British Academy for Training and Development offers this advanced training program in “Analytics and Artificial Intelligence for Strategic Management for Strategy Professionals”, aiming to empower participants to leverage advanced analytical tools and artificial intelligence in designing and guiding organizational strategies effectively.

In today’s dynamic business world, strategic decision-making no longer relies solely on experience or intuition; it requires precise data, in-depth analysis, and AI-driven predictive models. This program emphasizes the integration of data science, intelligent technologies, and strategic planning tools to equip professionals with modern methodologies that support informed decision-making and help achieve competitive advantage.

The program provides participants with practical frameworks for understanding data patterns, applying AI to predictive analysis, and transforming raw information into actionable strategic insights. It highlights how advanced analytics and AI can strengthen the process of strategic planning, improve performance evaluation, and enhance organizational agility in an increasingly competitive environment.

Who Should Attend?

• Strategic planning officers and analysts in government and private institutions.

• Senior leadership and heads of corporate development and digital transformation departments.

• 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 program, participants will be able to master the following:

• Understand advanced analytics concepts and their role in supporting strategic decision-making.

• Utilize AI tools to analyze trends and forecast future scenarios.

• Develop skills to transform data into actionable strategic insights.

• Enhance the ability to evaluate strategic performance through accurate indicators and analyses.

• Integrate intelligent analytics techniques into the strategy formulation and implementation cycle.

• Data-Driven Strategic Analysis Fundamentals

  • The role of data in supporting long-term decisions.

  • Comparing traditional analysis with big data-driven analysis.

  • Converting raw data into high-value strategic insights.

• Types of Analytics and Their Role in Decision-Making

  • Descriptive, diagnostic, predictive, and prescriptive analytics.

  • When and why to use each type.

  • Real-world applications in market and organizational performance analysis.

• Introduction to Artificial Intelligence in Business

  • Core concepts of AI technologies.

  • Differences between AI, machine learning, and deep learning.

  • Practical examples of AI applications in management.

• AI as a Predictive Tool in Strategic Planning

  • Building predictive models for market and consumer behavior.

  • Scenario analysis and future forecasting.

  • Supporting strategic decisions with intelligent outputs.

• Using Data to Build Vision, Mission, and Goals

  • Strategic gap analysis using data.

  • Identifying opportunities and threats through analytics.

  • Formulating measurable and achievable strategic objectives.

• Decision Support Models Using Data

  • Dashboards and Key Performance Indicators (KPIs).

  • Multi-criteria decision-making tools.

  • Scenario analysis and selecting optimal strategic pathways.

• Analytical AI Tools and Techniques

  • AI tools used for strategic data analysis.

  • Comparing free and commercial analytical tools.

  • Selecting the appropriate tool based on decision type.

• Analyzing Unstructured Data in Strategic Context

  • Text analysis, digital content, and social media feedback.

  • Extracting trends from open data sources.

  • Linking qualitative analysis to strategic decision-making.

• Designing an AI-Driven Strategic System

  • Steps to build an infrastructure supporting intelligent decision-making.

  • Aligning corporate vision with technical analysis.

  • Managing cultural and technological transformation within the organization.

• Leading Strategic Futures with Data and Intelligence

  • Developing a flexible business model supported by smart analytics.

  • The role of leaders in guiding the organization toward analytical intelligence.

  • Progress indicators and continuous evaluation of strategic performance.