Generative AI-Powered Strategic Business Analysis

Strategy is no longer a monolithic, multiyear planning exercise. Today’s business analysts need to be more responsive and more resilient, particularly in rapidly changing environments. In this course, instructor Vincent Mirabelli explores the intersection of business analysis, strategy, and generative AI, equipping you with the core principles and skills of modern strategic development in this dynamic new context. Learn how to leverage AI tools to enhance business analysis, facilitate deeper insights and alignment with strategic objectives, optimize decision-making processes, and drive innovation. By the end of this course, you’ll be prepared to design and adapt AI-enhanced strategies that align with the goals of your organization, ensuring agility and competitiveness in an ever-evolving business landscape.

Learning objectives
Explain how business analysis, strategy, and AI intersect and describe the core principles of modern strategy development in the context of generative AI.
Analyze how AI tools can amplify business analysis, enabling deeper insights into data and better alignment with strategic objectives.
Apply AI-powered techniques to support strategic decision-making processes, such as identifying business opportunities, optimizing resource allocation, and driving continuous innovation.
Evaluate the impact of AI-driven strategies on overall business performance by assessing alignment with organizational goals and long-term vision.
Design AI-enhanced strategies that are aligned with business analysis insights, ensuring that strategy development remains dynamic and adaptable in the face of evolving technologies.
Synthesize AI-driven solutions and business analysis frameworks to generate innovative strategic recommendations, driving value across departments.
Adapt existing strategies to incorporate emerging AI technologies, ensuring that their organization remains agile and competitive in a rapidly changing business environment.