Business Intelligence (3cr)
Code: IB00CY33-3003
General information
- Enrollment
- 11.11.2024 - 27.02.2025
- Registration for the implementation has ended.
- Timing
- 07.04.2025 - 25.05.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- SeAMK International Business
- Campus
- SeAMK Seinäjoki, Frami
- Teaching languages
- English
- Degree programmes
- Bachelor of Business Administration, International Business
- Teachers
- Maja Krljic
- Scheduling groups
- Avoin AMK (Ei koske tutkinto-opiskelijaa) (Size: 10 . Open UAS : 10.)
- Small groups
- Open UAS (Doesn't apply to degree student)
- Course
- IB00CY33
Evaluation scale
1-5
Objective
The student can
- Understand the role of business intelligence in the IT and business context.
- Explain the basic principles of databases, data warehousing and business intelligence.
- Understand the different data sources and data quality processes.
- Define the dimensions and measures for the business intelligence data model.
- Present the basic knowledge and skills needed in building a business intelligence solution.
Content
- Organizational context of business intelligence
- Database and data warehouse concepts and structures
- Recognizing different data sources
- Ensuring data quality
- Tools for designing and implementing business intelligence solutions
- Planning, implementing and maintaining a business intelligence solution
- Changes, risks and problems in business intelligence
- Business intelligence as communication and management tool
Materials
Material provided by teacher (teaching material, online articles, previous research)
Teaching methods
Lectures, Individual work,class activities, group work
Student workload
There will be total 81h:
- 16h of lectures and in-class activities
- 65h of self study
Assessment criteria, satisfactory (1)
The student can name and can define the central concepts which describe data warehousing and business intelligence. Student can explain different phases of the business intelligence process.
Assessment criteria, good (3)
The student can explain the central concepts which describe data warehousing and business intelligence. Student can explain well different phases of the business intelligence process. Student has basic business intelligence skills.
Assessment criteria, excellent (5)
The student can name and define very well the central concepts of data warehousing and business intelligence. Student can explain very well different phases of the business intelligence process. Student can implement business intelligence solutions independently.
Qualifications
- International Financial Management
- Digital Business Processes