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EDI 3600 Digital Business Analysis

EDI 3600 Digital Business Analysis

Course code: 
EDI 3600
Strategy and Entrepreneurship
Course coordinator: 
Ragnvald Sannes
Course name in Norwegian: 
Digital Business Analysis
Product category: 
Bachelor of Digital Business - Programme course
2025 Spring
Active status: 
Level of study: 
Teaching language: 
Course type: 
One semester

The course aims to learn students how to develop end-to-end solutions for data-driven analysis of business problems. Business problems can be strategic or operational. Business analysis is a data-driven problem-solving process. An end-to-end solution will assist the analysis from data capture and collection to presentation and visualization of results that are used in decision-making. These solutions include the technology building blocks for data collection and management, analysis, and visualization. It also includes the organizational aspects of data governance, the problem-solving process and decision-making.

Candidates from this programme may work in the role as the developer of these solutions, the analyst who uses the solution to solve a business problem or being involved in the decision-making process and forwarding requirements to the analytical process. 

Learning outcomes - Knowledge

After completing the course, a candidate will have obtained knowledge in:

  • General problem-solving processes and business analysis
  • The technical and organizational building blocks of an end-to-end solution for business analysis
  • Data visualization principles and techniques 
  • How to present and evaluate a business case  
Learning outcomes - Skills

After completing the course, a candidate will be able to:

  • Analyse a business problem and use data visualization to communicate the results
  • Create a solution for an end-to-end data-driven problem-solving process
  • Develop and present a business case
  • Assess the business value of alternative solutions
  • Evaluate the sustainability and social responsibility of a business decision 
General Competence

A candidate should be able to have a holistic view on business development initiatives and be able to balance quantitative and qualitative techniques. In presenting an initiative, a candidate should be able to communicate costs and benefits beyond financial values, including ethical considerations, and sustainability on the micro and macro levels.

Course content

Business Analysis

  • General problem-solving and business analysis
  • Business problem and task definition
  • Data-driven decision-making
  • Presenting a business case
  • Information requirements
  • Analytical techniques

From Data to Decision

  • Data capture and collection 
  • Data modelling and database design
  • Data management and governance
  • Data analysis

Presentation and Visualization 

  • Principles of data visualization
  • Data visualisation techniques and chart types
  • Data visualization tools and libraries

Evaluation Frameworks

  • Assessing a Business Case 
  • Sustainability Awareness Framework (SusAF)
  • Corporate Digital Responsibility 
  • The Ethical Navigation Wheel
Teaching and learning activities

The course includes lectures on topics, “lab”-sessions and problem-solving workshops.

During the course, candidates will work in teams to analyse a business problem typical for a digital business developer. The role of the lectures is to introduce new concepts, theories, methods and techniques for a digital business developer’s toolbox. The “lab”-sessions are hands-on sessions introducing software tools or analyses tools as a “help to self-help”. The workshops are session for discussions, coaching and feedback where some of the techniques are applied on cases. 

Classes are designed to be interactive with group activities, student-led discussions, and coaching. Attendance and participation in class is expected. 

The portfolio assessment consists of partial submissions to a project, a peer review of other student projects and a peer review process of team dynamics and team composition. More details will be presented at the beginning of the course.

Software tools
Software defined under the section "Teaching and learning activities".

Higher Education Entrance Qualification


Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Required prerequisite knowledge

This is a problem-solving course that integrates knowledge from other courses with new knowledge about systems for analysis and visualization of results. The course is best suited for students in their 3rd year. They should have basic prior knowledge from joint courses as well as program courses such as EDI 3400 Programming and Data Management, EDI 3430 Digital Value Creation and EDI 3500 Low Code Software Development.

Exam category: 
Form of assessment: 
Portfolio Assessment other than PDF
Exam/hand-in semester: 
First Semester
Group (2 - 3)
1 Semester(s)
The exam is a portfolio assessment which should develop an end-to-end solution that can be used to analyze a business problem. The portfolio consists of partial deliveries to a project. More details will be presented at the beginning of the course.
Exam code: 
EDI 36001
Grading scale: 
Examination every semester
Type of Assessment: 
Ordinary examination
Total weight: 
Student workload
15 Hour(s)

Participation in lectures
Seminar groups
21 Hour(s)

Participation in workshops
Prepare for teaching
30 Hour(s)
Reading and preparing for lectures and workshops
Student's own work with learning resources
34 Hour(s)
Work with online content and assignments
100 Hour(s)
Work on the project, including preparing for workshops
Sum workload: 

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 7,5 ECTS credit corresponds to a workload of at least 200 hours.