Business Intelligence (5 cr)
Code: R0404-3004
General information
- Enrollment
-
24.05.2021 - 30.05.2021
Registration for the implementation has ended.
- Timing
-
01.09.2021 - 10.12.2021
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 1 cr
- Virtual proportion
- 4 cr
- Mode of delivery
- Blended learning
- Campus
- Laurea Leppävaara
- Teaching languages
- English
- Seats
- 20 - 56
- Degree programmes
- Laurea täydentävä osaaminen, amk-tutkinto (TOH2), Kauppa, hallinto ja oikeustieteet
- Complementary competence, bachelor’s studies in English (CCH2), Business, administration and law
- Teachers
- Jouni Takala
- Marjaana Ajanto
- Lassi Tissari
- Teacher in charge
- Lassi Tissari
- Study unit
- R0404
Learning outcomes
The student is able to
- understand the connection between the analytical tools that can be used on real data in companies and the decision-making
- use analytical skills to work with the data, to understand it and to turn it into intelligence for particular decisional contexts
Materials
Sharda, Delen & Turban: Business Intelligence. A Managerial Perpective on Analytics. Pearson OR
Sharda, Delen & Turban. Business Intelligence and Analytics. Systems for Decision Support. Pearson
Teaching methods
Having completed the study unit the student is able to:
•understand the connection between the analytical tools that can be used on real data in companies and the decision-making.
•use analytical skills and tools to work with the data, to understand it and to turn it into intelligence for particular decisional contexts.
Contents
•Decision Making Support and Analytics
•Data Warehousing
•Reporting
•Visualization
•Data Mining
•Text and Web Analytics
•Big Data
Tools
•Excel + Power Pivot (and other Excel add-ins)
•Microsoft Power BI (Desktop and Cloud)
•Some demonstrations of other BI Tools
Employer connections
Visiting lecturers - Business Case - examples of practical projects and implementations
Exam schedules
Online Zoom sessions Materials Topics
1.9 Session 1 (Lecture) Link to material pages Orientation
8.9 Session 2 (Lecture) Link to material pages Theory 1 + exercises
15.9 Session 3 (Lecture) Link to material pages Theory 2 + Individual assignments
29.9 Session 4 (Textbook Exam) Link to exam 4 chapters from the book
6.10 Session 5 (Lecture) Link to material Team assignment introduction
3.11 Session 6 (Feedback Meeting) Students provide Status check
1.12 Session 7 (Presentations) Students provide Final presentations and reports
Content scheduling
Contents
Theory from a business perspective
- Decision support and analytics
- Data Warehousing, Reporting and Data Visualization
- Text and web analytics
- Big Data concepts
Practical exercises with the following tools
- Microsoft Power BI (Desktop and Cloud versions)
Evaluation scale
H-5