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

The materials are online:

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

This study unit has Zoom lectures.
Link to Zoom-meetings: https://laurea.zoom.us/j/64313362542
This study unit includes individual work and working in teams.
The learning environment of the study unit is Canvas.

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

Exam schedules

The study unit starts 31.1.2024
Link to Zoom-meetings: https://laurea.zoom.us/j/64313362542

International connections

The study unit is suitable for exchange students.

Completion alternatives

According to the 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 recognized 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.” For further information visit Opiskelijaintra.

Student workload

One credit equals approximately 26.7 hours of work performed by the student. 5 ECST is approximately 135 hours.

Evaluation scale

H-5

Further information

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

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 enrolment will be rejected. Another student in the queue may be enrolled in the study unit in the place of the absent student.”