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.
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
Pasila Campus
No Exam
This course implements Tasks - bigger assignment to do in restricted time
English
20.10.2025 - 12.12.2025
Lectures - slides and recordings Journals - reflections on topics Tool assignments Workshops Tutorials Tasks Quizzes
14.05.2025 - 22.05.2025
8 weeks course - can be started when Moodle availabe
Check Moodle for possible Deadlines
RPL is possible, you need to contact teacher immediately at course start.
Ralf Rehn
30 - 60
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
ITBBA Business Information Technology
0.00 cr
5.00 cr
H-5
Pasila Campus
English
23.03.2026 - 15.05.2026
Ralf Rehn
30 - 60
ITBBA Business Information Technology
0.00 cr
5.00 cr
H-5
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.
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
Pasila Campus
No Exam
This course implements Tasks - bigger assignment to do in restricted time
English
24.03.2025 - 16.05.2025
Lectures - slides and recordings Journals - reflections on topics Tool assignments Workshops Tutorials Tasks Quizzes
02.01.2025 - 21.03.2025
8 weeks course - can be started when Moodle availabe
Check Moodle for possible Deadlines
RPL is possible, you need to contact teacher immediately at course start.
Ralf Rehn
30 - 60
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
ITBBA Business Information Technology
0.00 cr
5.00 cr
H-5
This is a 8 week virtual course with no class sessions. All materials and
resources are found thru Moodle. Deadline applied for Star-up Module and
finalizing course - otherwise free schedule. Teacher available in Zoom first week and individual Zoom can be requested - to solve general issues.
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
Pasila Campus
No Exam
This course implements Tasks - bigger assignment to do in restricted time
English
21.10.2024 - 13.12.2024
Lectures Journals - reflections on topics Tool assignments Workshops Tutorials Tasks Quizzes
03.06.2024 - 18.10.2024
8 weeks course - can be started when Moodle availabe
Check Moodle for possible Deadlines
RPL is possible, you need to contact teacher immediately at course start.
Ralf Rehn
30 - 60
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
ITBBA Business Information Technology
0.00 cr
5.00 cr
H-5
This is a 8 week virtual course with no class sessions. All materials and
resources are found thru Moodle. Deadline applied for Star-up Module and
finalizing course - otherwise free schedule. Teacher available in Zoom first week and individual Zoom can be requested - to solve general issues.
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
Pasila Campus
No Exam
This course implements Tasks - bigger assignment to do in restricted time
English
25.03.2024 - 17.05.2024
Lectures Journals - reflections on topics Tool assignments Workshops Tutorials Tasks Quizzes
02.01.2024 - 22.03.2024
8 weeks course - can be started when Moodle availabe
Check Moodle for possible Deadlines
RPL is possible, you need to contact teacher immediately at course start.
Ralf Rehn
15 - 60
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
ITBBA Business Information Technology
0.00 cr
5.00 cr
H-5