Business Analytics in Tourism
Miguel de Castro Simões Ferreira Neto
Semanais - A disponibilizar brevemente
Totais - A disponibilizar brevemente
Idioma de ensino
Português. No caso de existirem alunos de Erasmus, as aulas serão leccionadas em Inglês
The main topics covered in the course lectures are:
T.1 ¿ Business Intelligence for Tourism
T.2 ¿ Data Management
T.3 ¿ Data Warehousing
T.3 ¿ Business Analytics
T.4 ¿ Data Visualization and Dashboard Design
T.5 ¿ Data Security and Privacy
The main topics covered in the course Labs are
L.1 Storytelling with Dashboards (Microsoft Power BI)
Lab 1.1 - Data Discovery
Lab 1.2 - Data Engineering
Lab 1.3 - Data Modelling
Lab 1.4 - Data Visualization
Lab 1.5 - Reporting & Dashboards
Lab 1.6 - Advanced Analytics
Lab 1.7 ¿ Creating an End-to-End Solution
L.2 Geographic Information Systems (ARC GIS)
Lab 2.1 - Geospatial Technology as a Key to Tourism
Lab 2.2 - Power of Mapping Tourism
Lab 2.3 - How does GIS can work for tourism
Sharda, Delen & Turban (2017). Business Intelligence, Analytics, and Data Science: A Managerial Approach, Global Edition, ISBN: 9780134633282
Ferrari & Russo (2016). Introducing Microsoft Power BI, Microsoft Press, ISBN: 978-1-5093-0228-4
Additional references will be provided during the course aligned with each session content.
Método de ensino
The final grade will be computed based on the following assessments:
a) Project (60%)
The Project will have two deliverables:
i) Introductory Business Analysis (35% of the project grade and submitted on Moodle) - ¿Business Needs Report¿ delivered by midterm where a company problem is presented and a potential solution is proposed using a Business Intelligence approach through a dashboard.
ii) Decision Support Dashboard (65% of the project grade and shared on Microsoft PowerBI) - Delivery of the dashboard built with Microsoft Power BI containing the information (metrics) needed to support decision making within the context of the problem identified in the midterm report.
b) Final individual written exam (40%)
To successfully complete the course students must obtain a minimum score of 9.5 in the final exam, irrespective of the mark obtained in a).
Método de avaliação
The course will have 14 sessions of 120 mn each and will be a mix of theory, case studies, real world cases presentations, and labs.
The lectures will include theoretical concepts, case studies and presentations.
The applied component of the course will include computer usage where students will apply the concepts and theories presented in lectures supported by the Microsoft Power BI and ARC GIS. In this context the students will have to develop a group project.
The course will count heavily on the students¿ active participation, both in class and in its preparation. Students will be required to form teams.
Cursos onde a unidade curricular é leccionada: