Study Guide

Learning outcomes

The student is able to
- use planning, analysis and decision-making tools and techniques in strategic planning
- analyze financial statements and business reports and use them as a basis for decisions
- make business decisions in various business contexts
- apply data in decision making

Teaching methods

•Lecturing in TEAMS
•Group Discussion
•Individual Assignment
•Individual or Group Project Task for decision making based on the intake of students.
•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 Teams.
IF ANY CHANGES, STUDENTS WILL BE INFORMED IN ADVANCE
** You can see the schedule in Pakki and in Canvas.**

Learning materials and recommended literature

All the materials for learning will be uploaded in the Canvas.
https://canvas.laurea.fi/courses/10916

Alternative completion methods of implementation

In this course, we’ll look at how data impacts business decisions. You’ll learn how data-driven decisions can help businesses grow, using tools like Power BI for analysis, while ensuring data privacy and following ethical guidelines.

You can complete the study unit virtually:

• Follow the instructions in CANVAS: The course learning environment is Canvas.
• Lectures will be recorded and uploaded in CANVAS for future reference.
• Submit the assignments on time.
• A mandatory multiple-choice examination.
• Attend the project task Evaluation.
• You can complete the study unit successfully.

Important dates

The course will commence on .01.02.2025 and ends on 31.07.2025

Date and Time:
06.02.2025 16.00 - 18.00 External room : Teams
13.02.2025 16.00 - 18.00 External room : Teams
20.02.2025 16.00 - 18.00 External room : Teams
27.02.2025 16.00 - 18.00 External room : Teams
13.03.2025 16.00 - 18.00 External room : Teams
27.03.2025 16.00 - 18.00 External room : Teams

Content and scheduling

Objectives:

1. Learn how to make smarter decisions using data with our Data-Driven Decision Making course. A comprehensive understanding of how data analytics can inform and enhance decision-making processes in organizations.
2. Develop competencies in leveraging tools like Power BI to analyze data, identify patterns, and generate actionable insights. This course will teach you how to use tools like Power BI to analyze and visualize data, helping you turn numbers into clear, useful information.
3. Maintain adherence to privacy policies and GDPR guidelines to ensure ethical data handling practices. You’ll also learn how to handle data safely, following important privacy rules like GDPR, and make sure you're using data responsibly and ethically.

Further information for students

** According to the degree regulations (section 18) “students must be present in the first contact session or notify the teacher in charge if they cannot attend. If they fail to notify the teacher of their absence in the first contact session, their enrolment will be rejected. Another student in the queue may be enrolled in the study unit in the place of the absent student.”**

** Please note that the medium of instruction for this course will be English.**

Grading scale

H-5

Evaluation methods and criteria

The evaluation is based on the following criteria:
Assignment-30 ( 2 assignments 10 points each)
Project Evaluation (40)
Examination (30)
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 40-60, the grade will be 1 and 2
ie; 40-49 will get 1
50-59 will get 2

Evaluation criteria, good (3-4)

If the points between 60-80, the grade will be 3 and 4
ie; 60-69 will get 3
70-79 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