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Business Intelligence (5 op)

Toteutuksen tunnus: R0404-3004

Toteutuksen perustiedot


Ilmoittautumisaika
24.05.2021 - 30.05.2021
Ilmoittautuminen toteutukselle on päättynyt.
Ajoitus
01.09.2021 - 10.12.2021
Toteutus on päättynyt.
Opintopistemäärä
5 op
Lähiosuus
1 op
Virtuaaliosuus
4 op
Toteutustapa
Monimuoto-opetus
Toimipiste
Laurea Leppävaara
Opetuskielet
englanti
Paikat
20 - 56
Koulutus
Laurea täydentävä osaaminen, amk-tutkinto (TOH2), Kauppa, hallinto ja oikeustieteet
Complementary competence, bachelor’s studies in English (CCH2), Business, administration and law
Opettajat
Jouni Takala
Marjaana Ajanto
Lassi Tissari
Vastuuopettaja
Lassi Tissari
Opintojakso
R0404

Tavoitteet

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

Oppimateriaali ja suositeltava kirjallisuus

Sharda, Delen & Turban: Business Intelligence. A Managerial Perpective on Analytics. Pearson OR
Sharda, Delen & Turban. Business Intelligence and Analytics. Systems for Decision Support. Pearson

Toteutustapa

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

Työelämäyhteistyö ja/tai TKI

Visiting lecturers - Business Case - examples of practical projects and implementations

Toteutuksen tärkeät päivämäärät

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

Sisältö ja sen jaksotus

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)

Arviointiasteikko

H-5

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