Data Driven Business Model Development (BDS300)
An increasing number of organizations, both in the private and public sectors, are now building their operations on digital business models. This course provides a thorough introduction to the development of such models, which generate a steady stream of data related to, among other things, internal quality, costs, profit margins, as well as customer behavior and preferences. This access to data enables better decision-making regarding both external adaptation and internal integration. The course also explores the necessary adaptive management processes to implement effective decision-making systems and ensure the realization of strategic choices. Furthermore, the course emphasizes an incremental approach to adaptation processes, focusing on continuous improvement.
Course description for study year 2025-2026. Please note that changes may occur.
Course code
BDS300
Version
1
Credits (ECTS)
10
Semester tution start
Spring
Number of semesters
1
Exam semester
Spring
Language of instruction
English, Norwegian
Content
- Through the course, students will learn about various patterns for data-driven business models, methods for designing and developing such models, as well as strategies for creating new and innovative digital business models.
- Analysis and categorization of incoming data streams from digital business operations in various service cases.
- Development of alternative decision models based on continuously collected digital data.
- Methods for integrating digital decision models into practical business operations.
- Design of adaptive management systems that facilitate incremental improvements in service delivery and internal quality.
Learning outcome
The candidates will, upon completion of the course, have the following learning outcomes defined in knowledge, skills, and general competence:
Knowledge
- Have knowledge of the key components and typical patterns in data-driven business models.
- Have knowledge of the central challenges and issues related to the development of data-driven decision models and the implementation of adaptive, incremental changes in modern digitalized enterprises.
- Have knowledge on how key stakeholder groups can be engaged, included, and influenced by continuous, incremental improvements.
Skills
- Be able to use various methods and tools to visualize, analyze, and develop new or improved business models.
- Be able to identify and categorize digital feedback from digitalized operations.
- Be able to ensure the quality of and analyze incoming data to provide reliable decision-making bases.
- Be able to develop and recommend alternative adaptive decision models and assess their strengths and weaknesses.
- Be able to identify conditions and requirements from a stakeholder perspective when implementing adaptive systems that promote incremental improvements.
- Be able to understand and evaluate the impact of digitalization from a stakeholder perspective.
General Competence
- Develop the ability to understand how data and digital technologies affect business environments and create new opportunities for value creation.
- Ability to communicate complex digital strategies and business models clearly to both technical and non-technical stakeholders.
- Be able to reflect on ethical aspects related to adaptive, data-based decision models.
- Be able to apply the course perspectives to new areas and situations involving change processes.
- Be able to communicate and engage in discussions about research-based theories and analyses in digitalized business environments.
Required prerequisite knowledge
Exam
Case analyze papers and oral exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Case analyze paper 1 | 15/100 | Letter grades | ||
| Case analyze paper 2 | 15/100 | Letter grades | ||
| Case analyze paper 3 | 15/100 | Letter grades | ||
| Case analyze paper 4 | 15/100 | Letter grades | ||
| Oral exam | 40/100 | Letter grades |