Data-driven Decision Making (5 cr)

Code: HL00BQ82-3068

General information

Enrollment: 20.05.2024 - 26.05.2024
Registration for the implementation has ended.

Timing: 12.08.2024 - 31.12.2024
Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 2.5 cr

Virtual proportion: 2.5 cr

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: NDV223KA
Tietojenkäsittelyn koulutus, digitaalisten palveluiden kehittäminen, monimuotototeutus, K23, Tikkurila

Study unit: HL00BQ82

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

Location and time

Tikkurila campus and partly online

02.09.2024 17.00 - 19.30 B301
17.09.2024 18.00 - 20.00 Zoom
07.10.2024 17.00 - 19.30 B310
29.10.2024 17.00 - 19.30 Zoom
12.11.2024 18.00 - 19.00 Zoom (info-clinic)
18.11.2024 17.00 - 20.00 B310

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 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.

Employer connections

There is one project work for company.

Exam schedules

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