Data-driven Decision Making (5cr)
Code: HL00BQ82-3028
General information
- Enrollment
- 22.05.2023 - 28.05.2023
- Registration for the implementation has ended.
- Timing
- 11.08.2023 - 02.12.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 3 cr
- Virtual portion
- 2 cr
- RDI portion
- 1 cr
- Mode of delivery
- Blended learning
- Campus
- Laurea Tikkurila
- Teaching languages
- English
- Seats
- 20 - 40
- Degree programmes
- Degree Programme in Business Information Technology, Developing Digital Services (NDV2), Laurea Tikkurila (in Finnish)
- Teachers
- Terhi Kärpänen
- Teacher in charge
- Terhi Kärpänen
- Groups
-
NDV222KATietojenkäsittelyn koulutus, digitaalisten palveluiden kehittäminen, monimuotototeutus, K22, Tikkurila
- Course
- HL00BQ82
Teachin methods
This course will be organized at Tikkurila campus and online.
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.
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
Employer connections
There is one project work for company.
Exam schedules
This course will be organized at Tikkurila campus and online.
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
Further information
The following applies to digital service development and cyber sercurity students: The last study unit implementation of the study unit targeted for your gropus is scheduled for spring semester 2026 (please check the study offering for any changes). After this you can complete the study unit ND00CC10 Data-driven IT 5 cr instead.
Objective
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
Evaluation scale
H-5