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

Aika ja paikka

Please refer to the Timetable Engine at https://lukkarit.laurea.fi/ for the schedule information. Laurea reserves the right to modify the timetable.

Oppimateriaali ja suositeltava kirjallisuus

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.

+ Materials in course Canvas.

Toteutustapa

The study unit is conducted online and does not require attendance on campus.

The study unit includes scheduled teaching or guidance online via the ZOOM platform, and these sessions will not be recorded. The learning environment is Canvas, where you can find the schedule, materials, assignments, and other information for the course.

The study unit includes working individually and in pairs or groups. The study unit requires active participation and commitment to interactive studying. You will receive individual feedback for assignments from the teacher and peer feedback may also be utilised.

Työelämäyhteistyö ja/tai TKI

There will be cooperation with companies that use data in their business planning and scoring.
Regarding tools, partner companies are:
- SAS Analytics - students will achieve data related SAS Data Literacy Essentials and SAS Data Litteracy in Practice Badges
- Microsoft - students will become familiar with data tools PowerBI and Excel

Toteutuksen tärkeät päivämäärät

Based on the degree regulations (2024), the student accepted for the implementation is required to confirm their participation by showing activity at the start of the study in the following way:

In order to demonstrate activity, the student must be present at the first contact lesson or notify the teacher in charge of their absence to confirm his/her participation in the study. Registration will be rejected if the student does not report his/her absence at the start of the study or the reason for the absence cannot be considered justified. Another student can be taken in his place. The first contact lesson is 4.2.2025.

Canvas opens latest on 3.2.2025.

Kansainvälisyys toteutuksella

The study unit is suitable for exchange students.

Toteutuksen valinnaiset suoritustavat

According to the degree regulations (2024), "Students are entitled to apply for recognition of prior learning regardless of where, when and how the competence has been acquired. ... At Laurea, there are two different procedures for the recognition and accreditation of prior learning: a) accreditation of prior learning (competence acquired in higher education studies at another institution) and b) demonstration of competence (competence acquired in other ways). The recognition and accreditation of prior learning is initiated by the student themselves. The student is responsible for demonstrating and verifying their competence. The student is entitled to guidance for the recognition and accreditation of their competence." Further information in the student intranet.

Opiskelijan ajankäyttö ja kuormitus

Workload of the study is measured in a way that to acquire the goal competence of the study, one credit corresponds to an average of 26.7 hours of work done by the student. The actual time needed varies e.g. according to prior competence. 5 ECTS is approximately 135 hours.

Sisältö ja sen jaksotus

The study unit includes four themes or modules. The orientation module must be completed before you can go on to modules 1, 2, 3, and 4.

Orientation
Module 1: Data in Business Environment
Module 2: Decision making
Module 3: Data Analytics and Accounting
Module 4: Data and Artificial Intelligence in Business Context

The weight of the modules in assessment:
Mod. 1: 20% (Individual)
Mod. 2: 20% (Individual)
Mod. 3: 40 % (Individual or pairs)
Mod 4: Project 20% (Team)
All modules are compulsory.

Please note that the course will be in English on the ZOOM platform.

Arviointiasteikko

H-5

Lisätiedot

The study unit corresponds to the requirements of Bachelor's level education.

Seuraava koskee Digitaalisten palveluiden kehittämisen opiskelijaa, joka ei ole suorittanut opintojaksoa viimeistään kevätlukukaudella 2026: Opintojakson voi korvata opintojaksolla ND00CC10 Data-driven IT 5 op.