Study Guide

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

•Lecturing in ZOOM
•Group Discussion
•Individual Assignment
•Individual Project Task using Power BI and Tableau tools
•A multiple choice question examination at the end of the study unit based on the concepts studied during the
study unit.

Location and time

The location of lessons will be in Zoom.
IF ANY CHANGES, STUDENTS WILL BE INFORMED IN ADVANCE

Learning materials and recommended literature

•Sharda, R., Delen, D., Turban, E., Aronson, J. E., Liang, T. & King, D. 2018. Business intelligence, analytics, and data science: A managerial perspective. Fourth edition. Global edition. Harlow, England: Pearson.
•Analyzing Data with Power BI and Power Pivot for Excel - englanti, 2017,Alberto Ferrari, Marco Russo

Alternative completion methods of implementation

You can complete the study unit virtually:

• Follow the instructions in CANVAS
• Submit the assignments on time
• Attend the project task evaluation and multiple choice examination without any fail
• You can complete the study unit successfully.

Co-operation with working life and/or RDI

Two hands-on session of PowerBI and Tableau tool will be conducted from company expert to know the realization of tool.

Important dates

The course will begin on 23.01.2024 and ends on 16.04.2024

Forms of internationality

The tools you are learning out of the study unit are internationally accepted.

Students workload

workload is medium

Content and scheduling

• Foundations of Business Intelligence
• Data Models
• Data Visualization
• Tools of Data Analytics and Visualization
• Focus on a specific Business Analytic Tool- Power BI and Tableau
• An external expert talk- hands-on experience with BI
• An external expert talk- hands-on experience with Tableau
• A project and its report with presentation
• Examination- Multiple Choice

Further information for students

Skill set you will build
- Proven approaches to business intelligence projects
- Identifying the uses and benefits of data models, pipelines, data visualizations, and dashboards
- Collaboration with team members, stakeholders, and users, as well as an understanding of their roles and priorities
- Planning processes for a successful project
- Networking to tap into the business intelligence community
- Demonstration of key knowledge and skills during a job search
Job Opportunities
Business intelligence analysts can start their careers in analytical roles such as data analyst.
When you get advance to Business Intelligence, the positions you can achieve as a Business Intelligence Professional are:
• Data analyst
• Business analyst
• Product analyst
• Business intelligence consultant
• Senior business intelligence analyst
• Business intelligence architect
• Business intelligence manager

Grading scale

H-5

Evaluation methods and criteria

The evaluation is based on the following criteria:
Assignment-10
Project Evaluation (40)
Examination (50)
Total -100

Evaluation criteria, fail (0)

If the points are less than 40, the student will fail for the study unit

Evaluation criteria, satisfactory (1-2)

If the points between 40-59, the grade will be 1 and 2
ie: 40-48 will get 1
49-59 will get 2

Evaluation criteria, good (3-4)

If the points between 60-80, the grade will be 3 and 4
ie: 60-68 will get 3
69-79 will get 4

Evaluation criteria, excellent (5)

If the points between 80-100, the grade will be 4 and 5
ie: 80-89 will get 4
90-100 will get 5

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

Lecturing
Group Discussion
Individual Assignment
Project Task for a group of two.
A multiple choice question examination at the end of the study unit based on the concepts studied during the study unit.

Location and time

The location of lessons will be in Zoom.
All the sessions are conducting on Fridays from 9:00 to 11:30 am.
IF ANY CHANGES, STUDENTS WILL BE INFORMED IN ADVANCE

Learning materials and recommended literature

Sharda, R., Delen, D., Turban, E., Aronson, J. E., Liang, T. & King, D. 2018. Business intelligence, analytics, and data science: A managerial perspective. Fourth edition. Global edition. Harlow, England: Pearson.

Co-operation with working life and/or RDI

Company visitors will be giving lectures on business intelligence tools

Important dates

Time Status Teaching group Description
01.09.2023 09.00 - 11.30 External room : Zoom
08.09.2023 09.00 - 11.30 External room : Zoom
15.09.2023 09.00 - 11.30 External room : Zoom
22.09.2023 09.00 - 11.30 External room : Zoom
29.09.2023 09.00 - 11.30 External room : Zoom
06.10.2023 09.00 - 11.30 Project Evaluation
13.10.2023 09:00-16:00 Project Evaluation
30.10.2023 09.00 - 11.30 Exam in CANVAS
27.11.2023 09.00 - 11.30 Feedback

Forms of internationality

The tools you are learning out of the study unit are internationally accepted.

Students workload

Medium work load

Content and scheduling

Foundations of Business Intelligence
Data Models
Data Visualization
Tools of Data Analytics and Visualization
Focus on a specific Business Analytic Tool- Power BI
An external expert talk- hands-on experience with BI
A project and its report with presentation
Examination

Further information for students

Skill set you will build
- Proven approaches to business intelligence projects
- Identifying the uses and benefits of data models, pipelines, data visualizations, and dashboards
- Collaboration with team members, stakeholders, and users, as well as an understanding of their roles and priorities
- Planning processes for a successful project
- Networking to tap into the business intelligence community
- Demonstration of key knowledge and skills during a job search

Grading scale

H-5

Evaluation methods and criteria

Project Evaluation (40)
Examination (60)
Total -100

Evaluation criteria, fail (0)

If the marks are less than 40, the student will fail for the study unit

Evaluation criteria, satisfactory (1-2)

If the marks between 40-60, the grade will be 1 and 2

Evaluation criteria, good (3-4)

If the marks between 60-80, the grade will be 3 and 4

Evaluation criteria, excellent (5)

If the marks between 80-100, the grade will be 4 and 5

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

Grading scale

H-5

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

Grading scale

H-5

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 Microsoft PowerBI to work with the data, to understand it and to turn it into intelligence

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 start end January, Canvas workspace opens some days beforehand.

Content and scheduling

Contents:
•Decision Making Support and Analytics
•Data Warehousing
•Reporting
•Data Mining

Grading scale

H-5

Evaluation methods and criteria

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

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