42576 From Analytics to Action

2019/2020

Kursusinformation
From Analytics to Action
Engelsk
5
Kandidat
F1A (man 8-12)
Campus Lyngby
Lectures and exercises
13-uger
Ingen eksamen
Bedømmelse af opgave(r)/rapport(er)
den individuelle opgave udgør 50% af den samlede karakter og ligeledes for den individualiserede grupperapport (50%)
Alle hjælpemidler er tilladt
7-trins skala , intern bedømmelse
02450.42490 , The course requires a basic understanding of data analytics methods. Furthermore, basic management knowledge, as it can be obtained in 42490 Technology, economics, management and organisation (TEMO) is useful to follow the course.
Kathrin Kirchner , kakir@dtu.dk
42 Institut for Teknologi, Ledelse og Økonomi
I studieplanlæggeren
Dette kursus giver den studerende en mulighed for at lave eller forberede et projekt som kan deltage i DTUs studenterkonference om bæredygtighed, klimateknologi og miljø (GRØN DYST). Se mere på http://www.groendyst.dtu.dk
Overordnede kursusmål
The general purpose of the course is to qualify the student to understand and address the problems and opportunities of data analytics projects from a management perspective.
The student should become able to identify and analyse challenges related to the business value of analysis projects for companies, and challenges related to the data, involved stakeholders, processes, technology and organization.
Furthermore, the students, together in a team, should be able to find solutions for identified challenges in an analytics project.
Læringsmål
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
  • identify challenges in data analytics projects
  • define the business value of data analytics projects
  • describe the elements of a data analytics strategy in a company
  • perform an in-depth analysis of the challenges and opportunities of a concrete data analytics projects
  • synthesise theories and integrate new knowledge from the state-of-the-art
  • develop a realistic and well thought data analytics project plan
  • design and evaluate solutions for an analytics project to be implemented in a company/organisation
  • write well-written reports with a clear and logic argumentation line, documenting the findings of the analytics project in a matter, and format, that can be targeted the upper management
Kursusindhold
Introduction to challenges of data analytics projects in companies. Deriving a research model to analyse aspects and challenges of such projects. Define the business value of analytics projects. Discussing data quality issues. Typical data analytics process models. Technological challenges. Stakeholder Analysis. Data Analytics Strategy.
During the course, a research model is used to explain management challenges in data analytics projects. Discussions, readings and mini-cases will give the participants the opportunity to discuss single aspects of management challenges and solutions.
In an individual essay, every participant will dive into one of the theoretical topics from the curriculum, relates it with additional literature and writes an individual 2-page-essay.
Within a project on real-world data, participants will apply their knowledge in a team and provide solutions. Each group will produce a management report.
Litteraturhenvisninger
Reading Material (current publications) is provided on DTU Inside.
Sidst opdateret
25. april, 2019