Data-driven Business ManagementLaajuus (5 cr)

Objectives

In this course, the student will deepen their understanding of managing data-driven business and learn how to integrate data more comprehensively into everyday business operations. At the same time, the student will have the opportunity to advance their knowledge management skills by focusing on a specific topic that aligns with both professional needs and personal interests.

After completing the course, the student will be able to:
- Recognize various ways to utilize data in business
- Understand how to lead data-driven change within an organization
- Identify the stages involved in implementing data projects
- Acquire and analyze information related to managing data-driven business
- Apply their knowledge to practical development situations or a selected area of data-driven business

Content

- Pathways for data utilization
- Implementing a data project within an organization
- Organizational culture supporting data-driven management
- Identifying personal areas of interest
- In-depth exploration of a specific area of data-driven business

Assessment criteria, satisfactory (1-2)

The student is able to identify various ways of utilizing data in business and name the stages of data projects. The student successfully completes assigned tasks and can recognize areas of knowledge management that align with their personal interests, as well as search for relevant information. The student is also able to give and receive feedback.

Assessment criteria, good (3-4)

The student is able to explain various ways of utilizing data in the economy and structure the stages of data projects. The student can select appropriate practices for the field, justify their choices, and organize areas of knowledge management that align with their interests, along with related information. The student is also able to give and receive feedback actively and constructively.

Assessment criteria, excellent (5)

The student is able to analyze various ways of utilizing data in business and understands the stages of data projects in a professional context. The student is capable of exploring and experimenting with appropriate practices for the field, justifying their choices, and deeply analyzing areas of knowledge management that align with their interests, along with related information. The student uses feedback systematically as a tool for professional development.