722A74 · 15 credits · Advanced level (A1N) · Företagsekonomi
Business Analytics
Discontinued · replaced by 722A80
92%
passed the latest ordinary exam
TEN1 · 10 Oct 2024 · 13 students
92%
passed the ordinary exams, all sittings over the last 5 years
TEN1 · 13 students
Exam
TEN1 Individual examination
- VG
- G
- U
Ordinary exams
92% passed · 13 students
- 92%13
Re-exams
No sittings with at least 5 students.
- Get VG: 0% (13 students)
Show small sittings (3)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%1
- 100%4
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Other module
GRP1 Group assignment
- VG
- G
- U
Main rounds
94% passed · 16 students
- 94%16
Later rounds
100% passed · 5 students
- 100%5
- Pass a later round: 100% (5 students), compared with 94% (16 students) on the ordinary exam
- Get VG: 19% (21 students)
About the course
Aim
After completion of the course, the student should on an advanced level be able to:
- argue for strategic decisions based on own data analysis
- analyze business data to discover evidence for decisions
- conduct data analysis using current and relevant methods of business analytics
- discuss the value of data and data analysis
- conduct the entire business analytics process from selection of data sources to decision-making
Content
In this course, students will foster data-driven decision-making through the application of current business analytics methodologies. The course will combine theory-based management knowledge with real-world business challenges and explore solutions through the analysis of data. Hereby, students will explore different units of the business organization and analyze unit-specific challenges as well as create an understanding on how unit-level decisions impact the organizational level. By doing so, theoretical concepts and models are combined with state-of-the-art analytical models to foster scientifically robust decision-making.
In the course, the following notions will be touched upon:
- Data economy
- Decision-making
- Data-driven decision-making
- Business analytics
- Examiner
- Alexander Flaig
- Main field of study
- Företagsekonomi