Customer analytics (5 cr)
Code: IB00EC59-3004
General information
- Enrollment
-
13.01.2025 - 25.01.2025
Registration for the implementation has ended.
- Timing
-
28.01.2025 - 31.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- RDI portion
- 2 cr
- Mode of delivery
- Contact learning
- Unit
- Department of Business
- Campus
- Kouvola Campus
- Teaching languages
- English
- Seats
- 20 - 60
- Degree programmes
- Degree Programme in Digital International Business
- Teachers
- Veijo Vänttinen
- Kerttuli Fisk
- Teacher in charge
- Kerttuli Fisk
- Groups
-
IBKV23SPDigital international business, full-time studies
- Course
- IB00EC59
Realization has 14 reservations. Total duration of reservations is 46 h 15 min.
Time | Topic | Location |
---|---|---|
Tue 28.01.2025 time 12:30 - 16:00 (3 h 30 min) |
Customer analytics IB00EC59-3004 |
140
Teorialuokka (40+1), päärakennus
|
Tue 04.02.2025 time 12:30 - 16:00 (3 h 30 min) |
Customer analytics IB00EC59-3004 |
140
Teorialuokka (40+1), päärakennus
|
Mon 10.02.2025 time 13:30 - 16:00 (2 h 30 min) |
Customer analytics IB00EC59-3004 |
142
Teorialuokka (40+1), päärakennus
|
Tue 18.02.2025 time 12:30 - 16:00 (3 h 30 min) |
Customer analytics IB00EC59-3004 |
141
Teorialuokka (40+1), päärakennus
|
Tue 04.03.2025 time 12:30 - 16:00 (3 h 30 min) |
Customer analytics IB00EC59-3004 |
141
Teorialuokka (40+1), päärakennus
|
Fri 07.03.2025 time 10:00 - 14:00 (4 h 0 min) |
Customer analytics IB00EC59-3004 |
140
Teorialuokka (40+1), päärakennus
|
Wed 12.03.2025 time 08:30 - 12:00 (3 h 30 min) |
Customer analytics IB00EC59-3004 |
251
Teorialuokka (40+1), päärakennus
|
Mon 17.03.2025 time 13:15 - 16:15 (3 h 0 min) |
Customer analytics IB00EC59-3004 |
142
Teorialuokka (40+1), päärakennus
|
Tue 25.03.2025 time 12:30 - 16:00 (3 h 30 min) |
Customer analytics IB00EC59-3004 |
251
Teorialuokka (40+1), päärakennus
|
Tue 01.04.2025 time 12:30 - 16:00 (3 h 30 min) |
Customer analytics IB00EC59-3004 |
251
Teorialuokka (40+1), päärakennus
|
Mon 07.04.2025 time 10:00 - 12:30 (2 h 30 min) |
Customer analytics IB00EC59-3004 |
141
Teorialuokka (40+1), päärakennus
|
Tue 15.04.2025 time 12:30 - 16:00 (3 h 30 min) |
Customer analytics IB00EC59-3004 |
142
Teorialuokka (40+1), päärakennus
|
Fri 25.04.2025 time 10:00 - 12:15 (2 h 15 min) |
Customer analytics IB00EC59-3004 |
KASARMI AU (ent. AMICA)
Kasarmiravintolan auditorio, Kvl (200)
|
Tue 29.04.2025 time 12:00 - 16:00 (4 h 0 min) |
Customer analytics IB00EC59-3004 |
142
Teorialuokka (40+1), päärakennus
|
Objective
You are able to identify and interpret customer related key performance indicators (KPIs).
You are able to use data driven approach to design marketing mix elements.
You are able to create customer portfolio specific relationship strategies.
You are able to relate overall business performance to customer analytics.
You are able to use basic tools to collect and analyze customer data.
Content
How to identify valuable customers through various KPIs?
How to adapt the marketing mix elements to add value to the customer?
How to create appropriate retention strategies according to customer portfolios?
How is the overall performance of the business related to customer measures?
How to use available customer analytics software programs in practice?
Course material
The course material consists of lecture notes and materials posted in the Learn platform. The following textbook is recommended as a supplementary source.
Peppers, D. & Rogers, M., 2004. Managing Customer Relationships: A Strategic Framework. Hoboken, New Jersey: John Wiley & Sons, Inc
Study forms and methods
The course will consist of theory based teaching and of project work done in groups.
Individual study tracks can be negotiated with the instructor. It will be available only if the student can provide sufficient basis for such implementation.
RDI and work-related cooperation
During the course there will be visiting lecturers and a work life related project will be conducted.
The tasks will support students’ own thesis work. Tasks can be part of the students’ own project to support development work at their own organization if they are employed. Guest lecturers and company related projects are possible from existing RDI projects at XAMK or sourced locally.
Timing of exams and assignments
There is no written exam at the end. There will be maximum five theme tasks corresponding to the pre-defined module in the Learn platform.
The tasks deadline will be evenly spread throughout the duration of the course to balance the student workload.
International cooperation
Students have possibilities to complete theme tasks in international and multicultural groups.
Student workload
One ECTS credit equals 27 hours of students work.
Course part description
How to identify valuable customers through various KPIs?
How to adapt the marketing mix elements to add value to the customer?
How to create appropriate retention strategies according to customer portfolios?
How is the overall performance of the business related to customer measures?
How to use available customer analytics software programs in practice?
Further information
Please contact kerttuli.fisk@xamk.fi directly for further information.
Evaluation scale
1-5
Assessment methods and criteria
Assessment will be based on active participation during the classes and of the individual & group assignments done during the course.
Assesment scale: 1-5
After having completed the course, students can
a. evaluate information sources critically.
b. work as team members in working life expert duties and identify and describe the problems of the professional field.
c. choose appropriate models, methods, software and techniques according to the purpose and justify these choices.
d. promote teams’ goal-oriented operation.