Data and Web Analytics (5 cr)
Code: T31L1282J-3002
General information
Enrollment
02.10.2023 - 28.04.2024
Timing
29.04.2024 - 17.05.2024
Credits
5 op
Virtual proportion (cr)
5 op
Mode of delivery
Distance learning
Unit
Bachelor of Business Administration, Business Economics T
Teaching languages
- English
Seats
1 - 50
Degree programmes
- Degree Programme in Business Management
Teachers
- Pekka Reijonen
Responsible person
Pekka Reijonen
Student groups
-
TA31L22KBachelor of Business Administration, Business Economics, Tornio, Spring 2022
Objective
On successful completion of the course, student is able to utilize the key practises and tools of collecting, analysing and reporting business data. Student is able to support business decision making with relevant and professionally visualized data. Student is able to utilize web analytics tools to enhance marketing activities.
Content
Google Analytics or other similar tool
Google Data Studio, MS PowerBI or other similar tool
Location and time
Remotely via Zoom
Materials
Will be updated to Moodle later
Teaching methods
Teaching is done remotely by Zoom.
Teacher will guide students towards the subject and necessary material. Individual and pair exercises are used to get familiar with subject and it's concepts. A group task is done where the task is to plan analytics for a case. Learning is based on problem solving and/or utilizing business opportunity using analytics. Peer reviews are applied. Teacher may also use other applicable methods and modify ones mentioned above according to the situation.
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
Student recognizes the variety of business data sources and general methods of collecting it from them. Student recognizes the need for combining data from different sources. Student can use some features of a analytical tool to manipulate business data. Student can produce visual reporting for business decision makers. Student is able to utilize the some features of web analytics tools to find potential problems in marketing activities.
Assessment criteria, good (3)
Student recognizes the key sources of business data and methods of collecting it from them. Student recognizes the need and principles for combining data from different sources. Student can use a relevant analytical tool to manipulate data related to business decision making. Student can produce clear and visual reporting for business decision makers. Student is able to utilize the key features of web analytics tools to find potential problems in marketing activities.
Assessment criteria, excellent (5)
Students recognizes the different business data sources and methods of collecting and combining data from them in practical way. Student can use key analytical tools to manipulate data in order to support business decision making. Student can produce relevant and professionally visualised data reporting in order to communicate with different stakeholders. Student is able to utilize web analytics tools to suggest improvements in marketing activities.