Business Intelligence (5 cr)
Code: BIG4TF022-3007
Basic information of implementation
- Enrollment
- 14.06.2021 - 20.08.2021
- Enrolment for the implementation has ended.
- Timing
- 23.08.2021 - 15.10.2021
- Implementation has ended.
- ECTS Credits
- 5 cr
- Campus
- Pasila Campus
- Teaching languages
- English
- Seats
- 15 - 40
- Degree programmes
- BITE Degree Programme in Business Information Technology
- Teachers
- Ralf Rehn
- Groups
-
TF7WADTF7WAD Bite
-
TF3SWDTF3SWD Bite SWD Group 3 semester
-
TF3DIGTF3DIG Bite DIG Group 3 semester
-
TF7BITTF7BIT Bite
-
VIRTUALVirtual implementation
-
EXCHEXCH Exchange students
- Course
- BIG4TF022
Evaluation scale
H-5
Implementation methods, demonstration and Work&Study
Research assignment
Work and study
Guest lectures
Intro
Business Intelligence is a MUST in todays competetive busoiness. Learn basics and good practise in two leading BI self-service tools Power BI Desktop amd Tableau Desktop. You are introduced to the basic concepts in BI like ETL. TRhe cousre stresses the understanding of business value , maturity and agile approach to development lifecycles.
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
Link to current updated impl plan
https://haagahelia-my.sharepoint.com/:b:/g/personal/h00503_haaga-helia_fi/BI002/EZ5pOP1O41VMiQyyegqWVR8BqaUIxAXCDNR6yd2a135s7g?e=qD6NYx
Exam dates and re-exam possibilities
No exam
Learning assignments
1. Start-up module
• Preparation, guidelines,
• Introduction to tools used
• Study plan, getting ready to start working
• Start-up Quiz
• 8 course points (cp)
2. Module 1 - Orientation and Power Pivot
• Lecture 1 and 2
• Journals
• Demonstration
• Quiz
• 22 course points (cp)
• Running total = 30 p
3. Module 2 - Orientation and Power BI Desktop
• Lecture 3
• Journals
• Workshops and Task
• preliminary 25 course points (cp)
• Running total = 55 p
4. Module 3 - QlikView
• Lecture 4
• Journals
• …..
• preliminary 25 course points (cp)
• Running total = 80 p
5. Module 4 - Agile development
• Lecture 5
• Journals
• ….
• preliminary 20 course points (cp)
• Running total = 100 p
6. Official course feedback and feedback directly to teacher
• 2 cp
• Running total = 102 p
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