Business Data Management and Data Analytics - ICB015AS3AE - Opinto-opas

Business Data Management and Data Analytics, 5 cr - ICB015AS3AE

Upcoming implementations

Business Data Management and Data Analytics ICB015AS3AE-3001 21.10.2024-13.12.2024 5 op (ITE5PAICB1, ...) +-
Learning material and recommended literature

Applicable parts: DAMA-DMBOK: data management body of knowledge, Earley&Henderson, Technics Publications 2017.
Other materials introduced in course Moodle pages

Campus

Pasila Campus

Teaching language

English

Timing

21.10.2024 - 13.12.2024
Groups
- ITE5PAICB1
- CONTACT
- BLENDED
- EXCH
Teachers

Jari Haggren

Seats

15 - 60

Degree Programme

ITBBA Business Information Technology

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5
Business Data Management and Data Analytics ICB015AS3AE-3002 24.03.2025-16.05.2025 5 op (ITE5PAICB1, ...) +-
Learning material and recommended literature

Applicable parts: DAMA-DMBOK: data management body of knowledge, Earley&Henderson, Technics Publications 2017.
Other materials introduced in course Moodle pages

Campus

Pasila Campus

Teaching language

English

Timing

24.03.2025 - 16.05.2025
Groups
- ITE5PAICB1
- CONTACT
- BLENDED
- EXCH
Teachers

Jari Haggren

Seats

15 - 40

Degree Programme

ITBBA Business Information Technology

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5

Current implementations

No ongoing implementations yet.

Past implementations

No past implementations yet.

Student who has completed this course or acquired equivalent competence:
- is able to describe the stages of the business data life cycle: Data creation, data storage, data processing, data utilization, data deletion
- identifies data management processes, roles and responsibilities (governance)
- recognizes the importance of data quality (evaluation, improvement, verification) and key methods for improving quality
- knows data-related security/security aspects, GDPR
- understands the importance of a company's data driven as a product and data as a product (data product manager perspective)
- is able to identify internal and external data sources as well as data integration methods and interface technologies
- knows the most important technologies and platforms in business data processing and analytics such as cloud services, big data, artificial intelligence methods and analytics software
- is able to evaluate data architecture solutions and the maturity level of data management
- is able to apply the technologies selected for the course implementations in training environments

- Stages of the data life cycle
- Data management processes
- Data quality
- Ethical issues and information security
- The importance of data in business
- Identification of internal and external data sources
- Integrations and interfaces
- Technologies related to data management and analysis
- Data architectures

a. Contact implementation with tasks and independent work
b. Online implementation with online teaching, assignments and independent work
c. Blended implementation with partly contact teaching and partly online learning with assignments and independent work
d. Virtual implementation with online learning with tasks and independent work

If you already know the learning outcomes of this course, you can show your competence. Ask the teacher of the course for more information. More information on identifying competences:
https://www.haaga-helia.fi/en/recognition-learning

Applicable parts: DAMA-DMBOK: data management body of knowledge, Earley&Henderson, Technics Publications 2017.
Other materials introduced in course Moodle pages

In this course, you will learn to understand the importance of data and importance of good governance for a company's business. Only high-quality data can be used to make meaningful analyses and conclusions for business development. During the course, you will learn the latest and advanced techniques for collecting, refining and utilizing data.

It is recommended to complete the courses SOF001AS2AE and ICB005AS2AE Business intelligence or to demonstrate equivalent competence.

Student
- shows fair activity in their studies
- demonstrates a fair understanding of course content and terms
- demonstrates fair competence in the application of course methods and techniques
- hardly knows how to use course materials to support their own learning

Student
- shows good activity in their studies
- demonstrates a good understanding of course content and terms
- demonstrates good competence in the application of course methods and techniques
- knows well how to use course materials to support their own learning

Student
- shows excellent activity in their studies
- demonstrates excellent understanding of course content and terms
- demonstrates excellent competence in the application of course methods and techniques
- searches and finds independently supporting material to enhance own learning.