Data-driven Decision Making (5cr)
Code: HL00BQ82-3033
General information
- Enrollment
- 22.05.2023 - 28.05.2023
- Registration for the implementation has ended.
- Timing
- 29.08.2023 - 31.12.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Campus
- Laurea Virtual Campus
- Teaching languages
- English
- Seats
- 20 - 50
- Degree programmes
- Liiketalouden koulutus (HLG2), Laurea Otaniemi, Finnish
- Teachers
- Marika Nikkinen
- Marjaana Ajanto
- Kaija Koivusalo
- Teacher in charge
- Marjaana Ajanto
- Groups
-
HLG222SALiiketalouden koulutus, monimuotototeutus, S22, Otaniemi
- Course
- HL00BQ82
Teachin methods
Please note that this course has replaced the previous Service Business Management (R0219) course.
Welcome into study current topics related to data and its meaning to business.
The study unit will include:
- Introduction to data and data based thinking
- Data driven decision making
- Data and business
- Data and data related tools
There will be collaboration with companies during the course.
Course will be held in English.
Materials
- Marr, B. (2017). Data strategy: How to profit from a world of big data, analytics and the internet of things. Kogan Page Limited.
Employer connections
There will be cooperation with companies that use data in their business planning and scoring.
Exam schedules
Meetings will be held in Zoom.
Further information
The following applies to digital service development and cyber sercurity students: The last study unit implementation of the study unit targeted for your gropus is scheduled for spring semester 2026 (please check the study offering for any changes). After this you can complete the study unit ND00CC10 Data-driven IT 5 cr instead.
Objective
The student is able to
- use planning, analysis and decision-making tools and techniques in strategic planning
- analyze financial statements and business reports and use them as a basis for decisions
- make business decisions in various business contexts
- apply data in decision making
Evaluation scale
H-5