-
Presentation
Presentation
To provide students with an integrated view of the practices, tools and methodologies of Business Intelligence and Business Analytics, enabling them to transform data into useful information for decision making, based on descriptive, predictive and prescriptive analysis.
-
Class from course
Class from course
-
Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
-
Year | Nature | Language
Year | Nature | Language
3 | Mandatory | Português
-
Code
Code
ULHT6634-23090
-
Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
-
Professional Internship
Professional Internship
Não
-
Syllabus
Syllabus
Fundamentals of Business Intelligence and Business Analytics Business Intelligence Architecture Visualization and Reporting Data Quality, Governance and Ethics Descriptive and Diagnostic Business Analytics Predictive Business Analytics Prescriptive Business Analytics and Decision Support Integration of BI and BA in Organizations Practical Project: Planning and Development Practical Project: Presentation and Discussion
-
Objectives
Objectives
Understanding of the fundamental concepts of Business Intelligence (BI) and Business Analytics (BA) - differences and complementarities. Mastery of the architecture and operation of Business Intelligence systems - modeling of a Datawarehouse, ETL process and data analysis Descriptive analysis and data visualization capabilities Application of predictive and prescriptive techniques Quality assurance and ethics in data management Practical integration of BI and BA in an organizational context Development of problem-oriented analytical solutions
-
Teaching methodologies and assessment
Teaching methodologies and assessment
To be described
-
References
References
Bolton, J. (Ed.). (2019). Data Warehousing Essentials. Larsen and Keller Education. Deckler, G. (2022). Learn Power BI: A comprehensive, step-by-step guide for beginners to learn real-world business intelligence, 2nd Edition (2nd ed. edition). Packt Publishing Kelly, N. (2021). Delivering Data Analytics: A Step-By-Step Guide to Driving Adoption of Business Intelligence from Planning to Launch (1st edition). Kogan Page. Kimball, R. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition (3 edition). Wiley. Sharda, R., Delen, D., & Turban, E. (2023). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (12th edition) Pearson. Provost, F., & Fawcett, T. (2013). Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking. O’Reilly Media.
-
Office Hours
Office Hours
-
Mobility
Mobility
No