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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

07.01.2025 - 01.06.2025

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
  • DTNS23
    Information 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
  • DTNS22
    Information 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