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

Location and time

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

Materials

Jeyarathnam, M. 2008: Strategic Management. Global Media.
Van Looy, B., Gemmel, P. & Van Dierdonck, R. 2013: Service Management: An integrated approach. Essex: Pearson Education Limited.
Epstein L. 2012: The Business Owner's Guide to Reading and Understanding Financial Statements: How to Budget, Forecast, and Monitor Cash Flow for Better Decision Making. John Wiley & Sons, Incorporated.
Vance, David E. 2012: Financial analysis & decision making: tools and techniques to solve financial problems and make effective business decisions. McGraw-Hill.

Teaching methods

The study unit is conducted online and does not require attendance on campus. The study unit includes scheduled teaching or guidance online, which is recorded and can be viewed on Canvas afterwards. The study unit includes working in individually, 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 working life or peer feedback may also be utilised.

Exam schedules

Based on the degree regulations (2024), the student accepted for the implementation is required to confirm his/her 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 his/her 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 4.9.2024.
https://laurea.zoom.us/j/64232798687

International connections

The study unit is suitable for exchange students.

Completion alternatives

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.

You may also assess work-based learning as a way to acquire the competence needed. Read more in the student intranet.

Student workload

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 ECST is approximately 135 hours.

Content scheduling

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

Evaluation scale

H-5

Further information

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