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Business Intelligence (5 cr)

Code: LY00EC28-3004

General information


Enrollment
02.05.2023 - 13.08.2023
Registration for the implementation has ended.
Timing
25.10.2023 - 12.12.2023
Implementation has ended.
Number of ECTS credits allocated
5 cr
Virtual portion
2 cr
Mode of delivery
On-campus and online
Unit
(2019-2024) School of Business
Campus
Leiritie 1
Teaching languages
Finnish
Seats
20 - 35
Degree programmes
Master’s Degree Programme in Business Development
Teachers
Jimmy Ruokolainen
Teacher in charge
Raisa Varsta
Groups
L0822S6
Liiketoiminnan kehittämisen tutkinto-ohjelma ylempi
Course
LY00EC28

Implementation has 6 reservations. Total duration of reservations is 19 h 30 min.

Time Topic Location
Wed 25.10.2023 time 17:00 - 20:15
(3 h 15 min)
Liiketoimintatiedon hallinta (BI) LY00EC28-3004
MMC304 Oppimistila
Wed 01.11.2023 time 17:00 - 20:15
(3 h 15 min)
Liiketoimintatiedon hallinta (BI) LY00EC28-3004
MMC304 Oppimistila
Wed 08.11.2023 time 17:00 - 20:15
(3 h 15 min)
Liiketoimintatiedon hallinta (BI) LY00EC28-3004
MMC314 IT-Tila
Wed 15.11.2023 time 17:00 - 20:15
(3 h 15 min)
Liiketoimintatiedon hallinta (BI) LY00EC28-3004
MMC304 Oppimistila
Wed 22.11.2023 time 17:00 - 20:15
(3 h 15 min)
Liiketoimintatiedon hallinta (BI) LY00EC28-3004
MMC304 Oppimistila
Wed 29.11.2023 time 17:00 - 20:15
(3 h 15 min)
Liiketoimintatiedon hallinta (BI) LY00EC28-3004
MMC304 Oppimistila
Changes to reservations may be possible.

Objective

The student understands the importance of Business Intelligence (BI), Business Performance Management and Knowledge-Based Management and their relation to corporate strategy.
He/she is able to evaluate how BI and analytics can create a common language for an organization and enable strategy implementation and synchronization of the business data.
He/she is able to describe BI architecture and software. He/she understands the principles of data warehouse design.
The student knows the vocabulary of the field and is able to participate in development projects as an expert in his/her business area.

Content

• Business Intelligence and Knowledge-Based Management
• Business Performance Management
• Business Intelligence management processes, architecture and software
• Data warehousing and specification of information needs
• From basic reporting to predictive and prescriptive analytics
• Data Science and Machine Learning

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.

Assessment criteria, good (3)

Good overall performance: can apply and articulate concepts and information well both verbally and in writing, certain areas of individual or team output require further attention; shows appropriate level of interest and motivation in individual and team activities. Good presentation delivery and analysis.

Assessment criteria, excellent (5)

Excellent performance in all elements of the course: shows interest and motivation in individual and team activities and assignments, fully applies and clearly articulates concepts and information both verbally and in writing. The student is able to support his/her argument with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.

Assessment criteria, approved/failed

Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.

Qualifications

Research Methods and Tools

Objective

The student understands the importance of Business Intelligence (BI), Business Performance Management and Knowledge-Based Management and their relation to corporate strategy.
He/she is able to evaluate how BI and analytics can create a common language for an organization and enable strategy implementation and synchronization of the business data.
He/she is able to describe BI architecture and software. He/she understands the principles of data warehouse design.
The student knows the vocabulary of the field and is able to participate in development projects as an expert in his/her business area.

Content

• Business Intelligence and Knowledge-Based Management
• Business Performance Management
• Business Intelligence management processes, architecture and software
• Data warehousing and specification of information needs
• From basic reporting to predictive and prescriptive analytics
• Data Science and Machine Learning

Qualifications

Research Methods and Tools

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