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

Strategic Analytics. Harvard Business Review Press, 2020.

Bernard, M. (2017). Data Strategy

Jackson, P. & Carruthers, C. (2019). Data Driven Business Transformation. John Wiley & Sons, Incorporated.

Listenmaa, J. (2023). Laita tieto töihin: Tiedolla johtamisen käsikirja. Alma Talent.

Teaching methods

A Canvas learning environment is used to support the implementation, but it is important to take part in teaching and guidance on campus according to schedule. The study unit includes working in pairs or groups. You will receive individual feedback for assignments from the teacher, and working life or peer feedback may also be utilised.

Exam schedules

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.” (Laurea degree regulations) In the case of online studies the lecturer can also specify some other way than participation on an online meeting what is required from the student so that he/she verifies his/her attendance on the study unit (Decision by the vice president, education 7/2019).

Completion alternatives

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 studies or another person designated to the position. The assessment is carried out according to the same assessment criteria and, as a rule, same grading scale as that adopted for the corresponding study unit or module. The student is entitled to apply for accreditation of prior competence regardless of where, how and when the competence has been acquired. The student may also seek accreditation of competence to be acquired on the job as part of their degree (work-based learning). The student is responsible for demonstrating and verifying their competence and for providing sufficient information.

Student workload

5 ECTS = 135 hours of student work

Content scheduling

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.

Evaluation scale

H-5

Further information

The study unit corresponds to the requirements of Bachelor level education.
According to the degree regulations (section 18) students must be present for the first contact teaching session, or they must notify the responsible teacher of their absence to confirm they intend to participate in studies, Alternatively, the teacher can specify a different manner for the student to confirm that they intend to participate in the studies. The completion of these measures can be required within a week of the studies having begun. The application of the aforementioned approach requires that the teacher notifies the students accepted to the study unit of the practice and that the practice is specifically mentioned in the study unit’s implementation plan.

If the student has a justified reason for not attending the first contact teaching session or for not notifying the teacher of their intention to be involved in studies in the manner required by the teacher, the student must contact the responsible teacher to agree on participation in the studies. Their registration for the study unit will be rejected, of the student does not notify the teacher of being absent from the first contact teaching session or the reason for their absence cannot be considered justified, Another student who is in line for the study unit can be selected in their place."

The quality of the study unit implementation has been assessed and the self-evaluation report is available in Canva.