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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

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