Data economy as a business development opportunity (5cr)

Evaluation scale

0-5

Objective

- The student understands the concepts and significance of the data economy in business. - The student is able to analyze the impacts of the data economy on business models and identify key factors within data ecosystems. - The student can apply learned concepts to real company examples and assess their business potential. - The student is able to evaluate the structures of data ecosystems and the roles of actors across different sectors of the economy. - The student can communicate the opportunities and challenges of the data economy as part of organizational decision-making.

Content

The aim of the course is to provide students with basic knowledge of the significance and opportunities of the data economy, as well as its concepts and solutions in business, using real company examples and/or webinars. The course also examines the impact of the data economy on business models and analyzes various data ecosystems.

Location and time

Microsoft Teams

Teaching methods

This course explores the significance and potential of the data economy in business development. It includes an introductory lecture and company presentations, where different organizations share practical examples of utilizing data analytics in business. The course provides insights into value creation from data, the application of analytics, and the development of data-driven decision-making. Upon completing the course, the student: Understands how data can be utilized in various situations to support business and create value. Is familiar with key data analytics methods and understands their applicability in different business environments. Can assess which data analytics or artificial intelligence tools can be used in different business development scenarios. Can analyze real-world business cases to understand how data has been applied in decision-making and strategic planning.