BAN230

Description

This course offers a comprehensive introduction to Business Intelligence (BI), equipping students with the skills to transform raw data into actionable insights for informed decision- making. This course emphasizes the full BI lifecycle, empowering students to: Understand the Past and Present: Analyze historical and current business data to gain a clear understanding of performance and identify key trends. Predict the Future: Utilize data analysis techniques, including predictive modeling, to forecast future business outcomes and anticipate potential challenges. Prescribe Solutions: Develop data-driven recommendations and actionable strategies to address current issues and capitalize on future opportunities. This course covers key BI applications, including descriptive analytics and visualization, trend analysis and prediction using Artificial Intelligence (AI), text analytics with generative AI, application programming with generative AI engines (e.g. ChatGPT, Perplexity, etc.), and business performance optimization. Students will explore core BI methodologies through practical, hands-on case studies, gaining proficiency in a range of powerful tools including Tableau, Python, R, Excel Solver, and KNIME. The case studies will encompass the entire BI process, from data gathering and problem definition to the development and presentation of actionable business strategies based on both structured and unstructured data analysis.