Data-driven Decision Making (5 cr)

Learning outcomes

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

Materials

All material will be found in Canvas platform for enrolled and accepted students.
Optional reading:
Bazerman, M., Moore, D. 2017. Judgement in Managerial Decision Making.Wiley:NJ.

Teaching methods

This course involves both individual and group work. One lesson will be conducted online as a video session. There is also an optional info clinic available for students.

Students will be divided into groups (Group 1 and Group 2). The groups will be announced in the first lesson.

All other lessons will take place at Tikkurila campus, and Canvas will be used as the learning platform.

Employer connections

There is one project work for company.

Exam schedules

This course will be organized at Tikkurila campus. There are two separate groups and three common lessons for both groups.
The lessons dates:

10.02.2025 12.30 - 15.15 B304 Group 1 and 2
24.02.2025 09.00 - 11.45 B310 Group 1
24.02.2025 12.30 - 15.15 B310 Group 2
24.03.2025 09.00 - 11.45 B310 Group 2
24.03.2025 12.30 - 15.15 B310 Group 1
14.04.2025 09.00 - 11.45 Online Group 1 and 2
29.04.2025 18.00 - 20.00 Optional Zoom-clinic online
05.05.2025 09.00 - 11.45 B304 Group 1 and 2

International connections

Study unit is suitable for Laurea exchange students and for Laurea students abroad.

Completion alternatives

According to degree regulations “All students are entitled to demonstrate their competence. The recognition and accreditation of prior competence is initiated by the students themselves. The competence is recognised and accredited by the teacher responsible for the module or study unit or another person designated by the director of the UAS unit. The assessment is carried out according to the same criteria and grading scale as that adopted for the corresponding study unit.”

Content scheduling

The modules:
Orientation
Module 1: What is data and what does data-driven mean?
Module 2: Decision making
Module 3: Data analytics and accounting
Module 4: Business case and dashboard

Evaluation scale

H-5

Further information

According to the degree regulations (section 18) “students must be present in the first contact session or notify their teacher in charge if they cannot attend. If they fail to notify the teacher of their absence in the first contact session, their enrollment will be rejected. Another student in the queue may be enrolled in the study unit in the place of the absent student.”