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
VIRTUAL
Virtual implementation
INSTRUCTED
Instructed virtual implementation
EXCH
EXCH Exchange students
ITE3PAICB1
Business 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

Siirry alkuun