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42576 From Analytics to Action

2021/2022

Kursusinformation
From Analytics to Action
Engelsk
5
Kandidat
F1A (man 8-12)
Campus Lyngby
Lectures and exercises
13-uger
Ingen eksamen
Mundtlig eksamen og bedømmelse af rapport(er)
The individualised group report counts for 80%. The purpose of the oral group exam (20%) is to present and discuss the group report results and to ensure that each student in any group gets an individual assesment of their contribution in regards to the group report.
Alle hjælpemidler er tilladt
7-trins skala , ekstern censur
42577.42490 , The course requires a basic understanding of data analytics methods. Furthermore, basic management knowledge, as it can be obtained, e.g., in 42490 Technology, economics, management and organisation (TEMO) is useful to follow the course.
Kathrin Kirchner , Tlf. (+45) 4525 6032 , kakir@dtu.dk
Kasper Edwards , Lyngby Campus, Bygning 358, Tlf. (+45) 4525 6010 , kaed@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 and present their results.
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 project
  • 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 a well-written report 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
  • present and discuss project results targeted to 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.
Within a project based on a case study, participants will apply their knowledge in a team and provide solutions. Each group will produce a management report and present the results.
Litteraturhenvisninger
Reading Material (current publications) is provided on DTU Learn.
Sidst opdateret
22. februar, 2022