Public University of Navarre



Academic year: 2024/2025 | Previous academic years:  2023/2024 
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Course code: 710502 Subject title: Business Intelligence
Credits: 4 Type of subject: Year: NULL_VALUE Period: 1º S
Department: Gestión de Empresas
Lecturers:
URTASUN ALONSO, AINHOA (Resp)   [Mentoring ]

Partes de este texto:

 

Module/Subject matter

Competitive intelligence and Business Analytics/ Business intelligence.

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Contents

1st week: Crash introduction to BI on Google Colab (Ainhoa Urtasun)

  1. Data management
  2. Descriptive statistics
  3. Machine learning (ML)
  4. Types of ML systems
  5. Linear regression
  6. Ordinary least squares (OLS)
  7. Gradient descent
  8. Making predictions
  9. Decision forests

Following weeks: Competitive Intelligence (CI) in the context of international business (Iñaki Oroz)

  1. Introduction to CI for international business
  2. The CI circle/cycle
  3. Planning and direction
  4. Critical factors of intelligence (CFI)
  5. Data/information collection
    • Information sources
  6. Info processing
    • Software
  7. Analysis
  8. Feedback and protection
  9. Practical case

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General proficiencies

Not applicable.

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Specific proficiencies

Not applicable.

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Learning outcomes

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.

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Methodology

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

 

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Evaluation

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

 

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Agenda

Week Session Description of the content (in class, 2h sessions) Outside of the classroom  
1 1-3 Crash introduction to BI on Google Colab (Ainhoa Urtasun) NO  
2 4-13 Competitive Intelligence (CI) in the context of international business (Iñaki Oroz) NO  

 

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Experimental practice program

Not applicable.

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Bibliography

Access the bibliography that your professor has requested from the Library.


- Arora, Ishmeet & Chaudhari, Apurva. (2023). Analysis of Twitter Data for Business Intelligence. 
- Khoshbakht, Farhad & Quadri, S.. (2023). Big Data Framework for Analytics Business Intelligence.- Post, Gerald V., and Albert Kagan (2012) "Business Intelligence." International Journal of Business Intelligence Research 3, no. 3 (July 2012): 16¿28.
- Laberge, Robert (2011) The Data Warehouse mentor. Practical Data Warehouse Business Intelligence Insights .Mc Graw Hill
- Christopher Adamson (2006) Mastering Data Warehouse Aggregates: Solutions for Star Schema Performance. Wiley. ISBN-13: 978-0471777090.
- Jill Dyché & Evan Levy (2006) Customer Data Integration: Reaching a Single Version of the Truth (SAS Institute Inc.). Wiley. ISBN-13: 978-0471916970
- Maurizio Rafanelli Editor (2003), Multidimensional Databases. Problems and Solutions. Idea Group Inc.


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Languages

English.

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Location

Campus Arrosadía.

Professors who are not from UPNA:

  • Iñaki Oroz

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