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Business Intelligence (5 cr)

Code: R0404-3004

General information


Enrollment

24.05.2021 - 30.05.2021

Timing

01.09.2021 - 10.12.2021

Number of ECTS credits allocated

5 op

Virtual proportion

4 op

Mode of delivery

20 % Contact teaching, 80 % Distance learning

Unit

Laurea Leppävaara, liko

Campus

Laurea Leppävaara

Teaching languages

  • English

Seats

20 - 56

Degree programmes

  • Complementary competence, bachelor’s studies in English (CCH2), Business, administration and law
  • Laurea täydentävä osaaminen, amk-tutkinto (TOH2), Kauppa, hallinto ja oikeustieteet

Teachers

  • Jouni Takala
  • Marjaana Ajanto
  • Lassi Tissari

Teacher in charge

Lassi Tissari

Groups

  • TON221SY
    Laurea täydentävä osaaminen (amk-tutkinto), S21, Tietojenkäsittely ja tietoliikenne (ICT)
  • TOH221SY
    Täydentävä osaaminen (amk-tutkinto), S21, Kauppa, hallinto ja oikeustieteet
  • CCN221SY
    Complementary competence (bachelor’s studies), S21, Information and Communication Technologies (ICT)
  • CCH221SY
    Complementary competence (bachelor’s studies), S21, Business, administration and law

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

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

Learning materials and recommended literature

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

Co-operation with working life and/or RDI

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

Important dates

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 and 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)

Grading scale

H-5

Evaluation methods and criteria

Assessment of this study unit is based on
•Team Assignments
• and Individual Assignments which have to be completed but are graded only as Pass/Fail.

Evaluation criteria, satisfactory (1-2)

PROFESSIONAL KNOWLEDGE BASIS, INFORMATION SEARCHING AND REPORTING
– use professional concepts in a consistent manner and demonstrate his/her familiarity with the knowledge basis
– report and communicate in a professional manner
PROFESSIONAL PRACTICE AND WORKPLACE DEVELOPMENT
– act independently taking into account the operating environment
– take responsibility for interaction with customers and/or co-operation partners and for responding to their needs
TEAMWORK SKILLS, LEADERSHIP AND RESPONSIBILITY
– describe the significance of his/her actions for successful co-operation
– describe his/her competence in relation to the learning outcomes

Evaluation criteria, good (3-4)

– critically evaluate information and justify their actions with science-based knowledge
PROFESSIONAL PRACTICE AND WORKPLACE DEVELOPMENT
– propose creative solutions at work
– promote professional co-operation and enhance customer and partner relationships
TEAMWORK SKILLS, LEADERSHIP AND RESPONSIBILITY
– act in a manner that promotes the team’s entrepreneurial and responsible approach to work
-describe the development of his/her competence in relation to the learning outcomes

Evaluation criteria, excellent (5)

PROFESSIONAL KNOWLEDGE BASIS, INFORMATION SEARCHING AND REPORTING
– analyse the acquired information, draw conclusions and combine theoretical knowledge with experiential knowledge
PROFESSIONAL PRACTICE AND WORKPLACE DEVELOPMENT
– evaluate the applicability of produced knowledge, skill or idea to other contexts as well as their impact
– anticipate needs of customers and/or co-operation partners
TEAMWORK SKILLS, LEADERSHIP AND RESPONSIBILITY
– evaluate and develop the team’s entrepreneurial and responsible approach to work
– evaluate the possibilities for utilising competence and plan his/her personal development and development of the team