Business Intelligence (5cr)
Code: R0404-3005
General information
- Enrollment
- 29.11.2021 - 05.12.2021
- Registration for the implementation has ended.
- Timing
- 24.01.2022 - 31.03.2022
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual proportion
- 5 cr
- RDI proportion
- 3 cr
- Mode of delivery
- Distance learning
- Campus
- Laurea Virtual Campus
- Teaching languages
- English
- Seats
- 40 - 58
- Degree programmes
- Complementary competence, bachelor’s studies in English (CCH2), Business, administration and law
Learning outcomes
The student is able to
- understand the connection between the analytical tools that can be used on real data in companies and the decision-making
- use analytical skills to work with the data, to understand it and to turn it into intelligence for particular decisional contexts
Teaching methods
Having completed the study unit the student is able to:
•understand the connection between the analytical tools that can be used on real data in companies and the decision-making.
•use analytical skills and Microsoft PowerBI to work with the data, to understand it and to turn it into intelligence
Learning materials and recommended literature
Sharda, Delen & Turban: Business Intelligence. A Managerial Perpective on Analytics. Pearson OR
Sharda, Delen & Turban. Business Intelligence and Analytics. Systems for Decision Support. Pearson
Co-operation with working life and/or RDI
Visiting lecturers - Business Case - examples of practical projects and implementations
Important dates
Online Zoom sessions start end January, Canvas workspace opens some days beforehand.
Content and scheduling
Contents:
•Decision Making Support and Analytics
•Data Warehousing
•Reporting
•Data Mining
Evaluation scale
H-5