Business Data Management and Data Analytics - Study guide

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

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

- 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

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.

When the implementation type of the course is contact, online or blended it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.

- Introductory lessons
- Laboratory environment
- Create a solution that summarizes and justifies an industry client’s needs and goals by utilizing an Azure data platform.
- Course has online and independent studies. Class activities can be agreed separately (not mandatory).

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

Visitors and cases tudies

Pasila Campus

No exam

English

Content is universal.

24.03.2025 - 16.05.2025

- Data in business - Data management concepts - Data fundamentals in Azure (hands-on exercises and DP-900: Azure data fundamentals certification in test environment) - Reflection of the visitor or case study - Project work as a group or individually. Own project topic can be used.

02.01.2025 - 21.03.2025

Period 4.

ITE5PAICB1
BLENDED
EXCH
ONLINE

Jari Haggren

15 - 40

Submitted assignments.

ITBBA Business Information Technology

0.00 cr

H-5