Business Intelligence & Data Analytics delves into decision-making, thereby discussing business analytics, as well as predictive and learning approaches. The students will receive knowledge about phenomena related to business intelligence & data intelligence, and the necessary skills that help them to appraise business approaches to deal with these phenomena in an effective way. The course is structured in 3 interconnected modules, namely (i) Business Analytics, (ii) Artificial Intelligence, Machine Learning & Predictive Approaches, and (iii) Business Intelligence and Data Analytics. The modules are structured in a way to ensure course progression. The curriculum covered on each lectured will be used as a background for the subsequent ones. The modules cannot be seen as stand-alone pieces. Lectures aims at framing the business and operations problem areas and then, concentrate on the discussion of practical dilemmas faced by managers. Examples of management areas covered in the course include demand forecasting, inventory management, and supply chain coordination.
The course will focus on:
- Reflect upon the role of Business Intelligence and Data Analytics on different organizations and business contexts.
- Undertake analysis and present general and/or specific solutions, based on the course program.
- Evaluate possible alternative solutions for the problem under consideration and argue for the selection of the approach that is better suited to solve the problem.
- Identify the strengths and weaknesses of solution approaches.