Training Course in Analytics and Artificial Intelligence for Strategic Management for Strategy Professionals

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.