Analytics and Business IntelligenceLaajuus (3 cr)
Code: DT10026
Credits
3 op
Teaching language
- Finnish
Responsible person
- Jarmo Talvivaara
- Tiina Soininen
Objective
As a Student, you
- know and understand the principles, goals, key concepts, applications and utilization methods of the business intelligence.
- know the basics of analytics for supporting business intelligence and information management.
- know the meanings of different levels of analytics and the basics of their application; descriptive, diagnostic, predictive, and prescriptive analytics.
- are able to evaluate the reliability and effectiveness of the data used in analytics
- know and are able to apply data visualization and other methods of description and reporting of data, using modern tools and platforms.
- understand the importance of automation in analytics and business data management solutions.
- understand the importance of data security in analytics and business information management solutions.
Content
Basics of business intelligence, information management and development, data and process development models (eg PDCA, DMAIC)
Analytics; EDA, descriptive, explanatory, predictive, prescriptive
Statistical methods in support of analytics (preparation and application); key indicators, correlation, regression, data testing
Business information management platforms and tools; on-premises, cloud services, hybrid.
Analytics platforms; on-premises, cloud services, hybrid.
Data reporting, visualization, sharing.
Automation needs in business information management.
Specific security issues in business information management.
Enrollment
01.10.2024 - 31.10.2024
Timing
09.01.2025 - 06.04.2025
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Campus
Wärtsilä Campus Karjalankatu 3
Teaching languages
- Finnish
Seats
10 - 80
Degree programmes
- Degree Programme in Business Information Technology
Teachers
- Jarmo Talvivaara
Teacher in charge
Jarmo Talvivaara
Groups
-
DTNS23Information Technology (BBA), Full-time Studies, Fall, 2023
Objective
As a Student, you
- know and understand the principles, goals, key concepts, applications and utilization methods of the business intelligence.
- know the basics of analytics for supporting business intelligence and information management.
- know the meanings of different levels of analytics and the basics of their application; descriptive, diagnostic, predictive, and prescriptive analytics.
- are able to evaluate the reliability and effectiveness of the data used in analytics
- know and are able to apply data visualization and other methods of description and reporting of data, using modern tools and platforms.
- understand the importance of automation in analytics and business data management solutions.
- understand the importance of data security in analytics and business information management solutions.
Content
Basics of business intelligence, information management and development, data and process development models (eg PDCA, DMAIC)
Analytics; EDA, descriptive, explanatory, predictive, prescriptive
Statistical methods in support of analytics (preparation and application); key indicators, correlation, regression, data testing
Business information management platforms and tools; on-premises, cloud services, hybrid.
Analytics platforms; on-premises, cloud services, hybrid.
Data reporting, visualization, sharing.
Automation needs in business information management.
Specific security issues in business information management.
Evaluation scale
H-5
Enrollment
01.10.2023 - 31.10.2023
Timing
08.01.2024 - 07.04.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Campus
Wärtsilä Campus Karjalankatu 3
Teaching languages
- Finnish
Seats
5 - 50
Degree programmes
- Degree Programme in Business Information Technology
Teachers
- Jarmo Talvivaara
Teacher in charge
Jarmo Talvivaara
Groups
-
DTNS22Information Technology (BBA), Full-time Studies, Fall, 2022
Objective
As a Student, you
- know and understand the principles, goals, key concepts, applications and utilization methods of the business intelligence.
- know the basics of analytics for supporting business intelligence and information management.
- know the meanings of different levels of analytics and the basics of their application; descriptive, diagnostic, predictive, and prescriptive analytics.
- are able to evaluate the reliability and effectiveness of the data used in analytics
- know and are able to apply data visualization and other methods of description and reporting of data, using modern tools and platforms.
- understand the importance of automation in analytics and business data management solutions.
- understand the importance of data security in analytics and business information management solutions.
Content
Basics of business intelligence, information management and development, data and process development models (eg PDCA, DMAIC)
Analytics; EDA, descriptive, explanatory, predictive, prescriptive
Statistical methods in support of analytics (preparation and application); key indicators, correlation, regression, data testing
Business information management platforms and tools; on-premises, cloud services, hybrid.
Analytics platforms; on-premises, cloud services, hybrid.
Data reporting, visualization, sharing.
Automation needs in business information management.
Specific security issues in business information management.
Evaluation scale
H-5