Course code: 710502 | Subject title: Business Intelligence | ||||
Credits: 4 | Type of subject: | Year: NULL_VALUE | Period: 1º S | ||
Department: Gestión de Empresas | |||||
Lecturers: | |||||
MARTIN MARTIN, OSCAR (Resp) [Mentoring ] |
RA04 Evaluate the sustainability of business activity in the field of international business from a perspective of social responsibility.
RA05 Evaluate relevant data to issue judgments that include a reflection and analysis of social, scientific, or ethical factors that affect the performance of companies in the international field.
RA06 Compile information to analyze problems and propose competitive and corporate strategies appropriate to the international context.
RA07 Identify potential business opportunities in the international field.
Activity | In class (hours) | Outside of the classroom (hours) |
Activity 1: Exploratory Data Analysis on a Case Study. | 15 | 24 |
Activity 2: Analytics and Visualization on a Case Study. | 15 | 24 |
Activity 3: Optimization, Regression and ML | 8 | 16 |
Activity 4: Theoretical-practical evaluation test. | 2 | 0 |
Total | 40 | 60 |
Learning outcome | Assessment activity | Weight (%) | It allows test resit | Minimum required grade |
R05, R06 | Activity 1 | 20 | NO | No |
R04, R07 | Activity 2 | 20 | NO | No |
R05, R06 | Activity 3 | 10 | NO | No |
R04, R05, R06, R07 | Activity 4 | 50 | Yes | 5 |
Week | Session | Description of the content (in class, 2h sessions) | Outside of the classroom | |
1 | 1 | Introduction to competitive intelligence, business analytics and its relationship with international trade. | NO | |
1 | 2 | Databases and Information Systems. Design principles and Tools | NO | |
1 | 3 | Tools for business analytics | NO | |
1 | 4 | Gathering external data: surveys | NO | |
1 | 5 | Gathering other external data: panels, user generated content | NO | |
1 | 6 | Exploratory data analysis: basic descriptive statistics | NO | |
1 | 7 | Exploratory data analysis: data visualization | NO | |
1 | 8 | Communicating with data: Dashboard design | NO | |
2 | 9 | Optimization Models (solver) | NO | |
2 | 10 | Regression Analysis | NO | |
2 | 11 | Regression Analysis - Extensions | NO | |
2 | 12 | Machine learning and AI Models | NO | |
3 | 13 | Applied example: Competitive intelligence | NO | |
3 | 14 | Applied example: Supply chain analysis, demand prediction | NO | |
3 | 15 | Applied example: Customer behavior - Segmentation | NO | |
3 | 16 | Applied example: Analysis of user generated content | NO | |
3 | 17 | Applied example: Financial metrics | NO | |
3 | 18 | Case study 1 | NO | |
3 | 19 | Case study 2 | NO | |
3 | 20 | Examen | NO |
Access the bibliography that your professor has requested from the Library.