Data-driven Decision Making (5 op)

Tavoitteet

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

Oppimateriaali ja suositeltava kirjallisuus

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

Toteutustapa

This course includes individual and group work. One lesson is a video lesson. This course includes one optional info-clinic. The students have divided to groups (group 1 and group 2). The groups will be communicated in the first lesson.
Otherwise, lessons will be held at Tikkurila campus. The learning platform is Canvas.

Työelämäyhteistyö ja/tai TKI

There is one project work for company.

Toteutuksen tärkeät päivämäärät

This course will be organized at Tikkurila campus. There are two separate groups and two common lessons.
The lessons dates:
01.02.2024 09.00 - 11.45 All
15.02.2024 09.00 - 11.45 Group 1
15.02.2024 12.30 - 15.15 Group 2
12.03.2024 09.00 - 11.45 Group 1
12.03.2024 12.30 - 15.15 Group 2
04.04.2024 09.00 - 11.45 Group 1
04.04.2024 12.30 - 15.15 Group 2
25.04.2024 18.00 - 20.00 Info-clinic Zoom (optional)
07.05.2024 09.00 - 11.45 All

Kansainvälisyys toteutuksella

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

Toteutuksen valinnaiset suoritustavat

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.”

Sisältö ja sen jaksotus

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

Arviointiasteikko

H-5

Lisätiedot

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.”