Data-driven Decision Making (5 cr)

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

Materials

Marr, B. (2017). Data strategy: How to profit from a world of big data, analytics and the internet of things. Kogan Page Limited.
All material needed will be found in Canvas platform for enrolled and accepted students

Teaching methods

This course will be organized at Tikkurila campus
Welcome to study current topics related data and its meaning to business.
The unit will include:
- Introduction to data and data based thinking
- Data driven decision making
- Data and business
- Data and data related tools

There will be collaboration with companies during the course.
Course will be in English.

Employer connections

There is one project work for company.

Exam schedules

This course will be organized at Tikkurila campus. There are two separate groups and two common lessons.
The lessons dates:
31.01.2023 08.30 - 11.45 B101 (136 henkilöä) All groups
14.02.2023 08.30 - 11.45 B310 (30 henkilöä) Group 1
14.02.2023 12.30 - 15.45 B310 (30 henkilöä) Group 2
14.03.2023 08.30 - 11.45 B310 (30 henkilöä) Group 1
14.03.2023 12.30 - 15.45 B310 (30 henkilöä) Group 2
27.03.2023 08.30 - 11.45 B310 (30 henkilöä) Group 1
27.03.2023 12.30 - 15.45 B310 (30 henkilöä) Group 2
25.04.2023 08.30 - 11.45 B303 (84 henkilöä) All groups

International connections

Study unit is suitable for Laurea exchange students and for Laurea students abroad.

Content scheduling

The modules:
Orientation
Module 1: What is data and what does data-driven mean?
Module 2: Decision making
Module 3: Data analytics and accounting
Module 4: Business case and dashboard

Evaluation scale

H-5