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
TF7WAD
TF7WAD Bite
TF3SWD
TF3SWD Bite SWD Group 3 semester
TF3DIG
TF3DIG Bite DIG Group 3 semester
TF7BIT
TF7BIT Bite
VIRTUAL
Virtual implementation
EXCH
EXCH 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

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