Business Analytics
- Details
- Category: Discipline
- Camm, J., Cochran, J., Fry, M., Ohlmann, J., Anderson, D., Sweeney, D., & Williams, T. (2015). Essentials of Business Analytics, Cengage Learning. Laursen, Gert H. N. & Thorlund, Jesper (2017) Business Analytics for Managers: Taking Business Intelligence Beyond Reporting, Second Edition, Wiley. Santos, M. & Ramos, I. (2009). Business Intelligence: Tecnologias da Informação na Gestão de Conhecimento, 2ª Edição, Lisboa, Portugal: FCA.
- Data Science
- 6321
- 23090
- Business Analytics
- ISMAT6321-23090
- 2
- 6
- 0
- 12
- Não
- Português
- The Challenge Based Learning methodology will be adopted. It is a multidisciplinary approach based on the educational principles defined in the Apple Classrooms of Tomorrow, which promotes the use of technology and collaboration between colleagues, professors, managers, specialists and the community, in the search for creative solutions to proposed challenges.
- Mandatory
- This UC aims to develop knowledge, skills and competences to: LO1: Understand the role of Business Analytics in organizations; LO2: Know frameworks for the implementation of Business Analytics in organizations; LO3: Use data, analytical, computer and management knowledge to find the best business strategies; LO4: Communicate the results with a view to promoting the use of the knowledge generated for the implementation of the best strategies.
- S1. Introduction to Business Analytics and its role in organizations S2: Frameworks for implementing Business Analytics S3: Balance Scorecard S4: CRISP-DM Methodology (Cross-Industry Standard Process for Data Mining) S5: CDM-BSC Methodology (CRISP-DM applied with Balance Scorecard) S6: Business Analytics Applications S7: Storytelling wih data
A avaliação inclui a apresentação de um seminário sobre aplicações de Business Analytics (30%) e a resposta ao desafio proposto (trabalho escrito: 40% e apresentação oral do trabalho: 30%).
- Semestral
- The CU Business Analytics addresses methods and tools for transforming data into valuable information to support decision-making in organizations. It develops skills in analysing, interpreting and communicating analytical results, fostering data-driven decision-making across different business contexts.
