Data-driven Decision Making (5cr)

Code: HL00BQ82-3019

General information

Enrollment: 22.05.2023 - 28.05.2023; Registration for the implementation has ended.

Timing: 11.09.2023 - 31.12.2023; Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 4 cr

Virtual portion: 1 cr

Mode of delivery: Blended learning

Campus: Laurea Leppävaara

Teaching languages: English

Seats: 20 - 65

Degree programmes: Liiketalouden koulutus (HLA2), Laurea Leppävaara (Finnish)

Teachers: Marika Nikkinen; Marjaana Ajanto; Kaija Koivusalo

Teacher in charge: Marjaana Ajanto

Groups: HLA222SN
Liiketalouden koulutus, päivätoteutus, S22, Leppävaara; HBA222SN
Degree Programme in Business Management, daytime studies, S22, Leppävaara

Course: HL00BQ82

Teachin methods

Welcome to 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 in English.
Please note that this course has replaced the previous Service Business Management (R0219) course.

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

We will have our lessons in campus. Check the schedule.

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