Business Intelligence (5 cr)
Code: ICB005AS2AE-3006
Basic information of implementation
- Enrollment
- 02.06.2025 - 17.10.2025
- Enrollment for the implementation has begun.
- Timing
- 20.10.2025 - 12.12.2025
- The implementation has not yet started.
- ECTS Credits
- 5 cr
- Campus
- Pasila Campus
- Teaching languages
- English
- Seats
- 30 - 60
- Degree programmes
- ITBBA Business Information Technology
- Teachers
- Ralf Rehn
- Groups
-
VIRTUALVirtual implementation
-
INSTRUCTEDInstructed virtual implementation
-
EXCHEXCH Exchange students
-
ITE3PAICB1Business Information Technology, 3rd semester, ICT and Business, Pasila, group 1
- Course
- ICB005AS2AE
Evaluation scale
H-5
Schedule
8 weeks course - can be started when Moodle availabe
Check Moodle for possible Deadlines
Implementation methods, demonstration and Work&Study
Possible implementation methods
- On-line
- Virtual .
- RPL
Intro
Understand Business Intelligence solutions and principles, gain valuable skills in leading Self-Service BI-tools - business first not technology! You will get a lot of practical experience and learning's you can utilize and build on!
Materials
Agile Analythics – A Value-Driven Approach to Business Intelligence and Data Warehousing: Ken Collier, Addison-Wesley 2012: Ken Collier, Addison-Wesley 2012 ISBN 978-0-321-50481-4
o E-book: Business Analytics for Managers : Taking Business Intelligence Beyond Reporting: Laursen Gert &Thorlund Jesper, Wiley 2010.
o Business Intelligence Applied: Michael S. Gendron, John Wiley & sons 2013 ISBN 978-1-118-42308-0
o Other books as available in Moodle platform
Provided articles, resources, links and other material in the E-learning environment
Microsoft Business Intelligence samples and material. Qlikview tutorials and sample material
Teaching methods and instruction
This is a 8 week virtual course with no class sessions. All materials and
resources are found thru Moodle. Deadline applied for Start-up Module. Module 1 and
finalizing course - otherwise free schedule. Teacher available in Zoom according to information in Moodle and individual Zoom can be requested - to solve general issues.
Exam dates and re-exam possibilities
No Exam
This course implements Tasks - bigger assignment to do in restricted time
Completion alternatives
RPL is possible, you need to contact teacher immediately at course start.
Learning assignments
Lectures - slides and recordings
Journals - reflections on topics
Tool assignments
Workshops
Tutorials
Tasks
Quizzes
Assessment methods
Grade 5 (90%)
The student has a very good understanding of the importance of Business Intelligence and is very familiar with the basic concepts, architectures, methodologies, strategies, tools and technics in BI. The student has excellent skills in using market leading BI tools for analyzing business information and data.
Grade 3 (70%)
The student has a good understanding of the importance of Business Intelligence and is quite familiar with the basic concepts, architectures, methodologies, strategies, tools and technics in BI. The student has good skills in using market leading BI tools for analyzing business information and data.
Grade 1 (50%)
The students has a basic understanding of the importance of Business Intelligence and is familiar with the at least some of the basic concepts, architectures, methodologies, strategies, tools or technics in BI. The student has basic skills in using market leading BI tools for analyzing business information and data.
Assessment procedure and setup
The course grade is defined by the amount of course points achieved:
>=90 p = Grade 5 >=80 p = Grade 4 >=70 p = Grade 3 >=60 p = Grade 2 >=50 p = Grade 1 >=40 p = Grade 1 possible with some extra successful deliveries – contact teacher <40 p = Fail