Marketing Engineering - Business Intelligence through Customer Insights
In the course we will cover the following topics (preliminary agenda):
1. Introduction to the course contents and the data (Week 1)
2. Descriptive analytics: Gaining a first intuition of (Week 2)
3. Regression essentials and related assumptions: How can we determine the optimal marketing mix? (Week 3)
4. Logistic regression & counterfactual simulations: How to predict the outcome of managerial actions? (Week 4)
5. Segmenting, targeting, and positioning: How can we divide the market into meaningful segments that should help us in prioritizing the most valuable customers? (Week 5)
6. Website scraping: How to access publicly available data? (Week 6 & 7)
7. Wrap up (Week 8)
Assignments
Will be announced during the course. You’ll be given data on a specific problem and receive for each report specific questions and hints on the analysis. Reports will likely have a length of about 3-5 pages each (the concrete length will be announced during course). Groups sizes will also be announced during class (very likely up to 3 students per group).
Date | Time |
---|---|
Thursday, 07.02.2019 | 11:30 - 15:15 |
Thursday, 10.01.2019 | 11:30 - 15:15 |
Wednesday, 16.01.2019 | 08:00 - 11:15 |
Thursday, 24.01.2019 | 11:30 - 15:15 |
Monday, 28.01.2019 | 15:30 - 18:45 |
Wednesday, 06.02.2019 | 17:15 - 18:45 |
Friday, 15.02.2019 | 08:00 - 11:15 |
Wednesday, 20.02.2019 | 08:00 - 11:15 |
- 45 points through the reports of three group assignments (very likely after week 2, week 4 and week 6)
- 45 points through the exam (of 60 minutes).