Bachelor
2024/2025![Learning Objectives](/f/src/global/i/edu/objectives.svg)
![Expected Learning Outcomes](/f/src/global/i/edu/results.svg)
![Course Contents](/f/src/global/i/edu/sections.svg)
![Interim Assessment](/f/src/global/i/edu/intermediate_certification.svg)
![Bibliography](/f/src/global/i/edu/library.svg)
Business Intelligence Systems
Type:
Elective course (Digital Product Management)
Area of studies:
Business Informatics
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Veronica Pisarenko
Language:
English
ECTS credits:
4
Contact hours:
40
Course Syllabus
Abstract
The course gives an overview of how business intelligence technologies can support decision making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass decision support systems, business intelligence systems, and visual analytics. Lectures are organized around the business intelligence concepts, tools and applications, and online analytical processing for creating visualizations and dashboards, and for business performance management and descriptive analytics.
Learning Objectives
- Comprehensive overview of Business Intelligence (BI) systems architecture and use.
- Get students familiarized with the common problems various businesses solve by means of BI tools
Expected Learning Outcomes
- Ability to choose stack of BI instruments based on business requirements
- Able to actively participate in data processing pipelines and BI systems deployment
- Able to build integrated reports and dashboards
- Can formulate business requirements based on actual requestors’ needs
- Capable of setting and testing simple hypotheses
Course Contents
- Business Intelligence Systems overview. Names and programs available on the market.
- Business Analysts role. Example of analytical business tasks on different levels
- BI deployment projects. Common approaches and usual bottlenecks
- KPIs and their hierarchies. Business metrics and their prioritization
- Building reports and dashboards, visualization techniques
Interim Assessment
- 2024/2025 2nd module0.4 * Exam + 0.2 * Homeworks + 0.3 * Homeworks + 0.1 * In-class test
Bibliography
Recommended Core Bibliography
- Laursen, G. H. N., & Thorlund, J. (2016). Business Analytics for Managers : Taking Business Intelligence Beyond Reporting (Vol. Second edition). Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1367899
Recommended Additional Bibliography
- Vidgen, R., Shaw, S., & Grant, D. G. (2017). Management challenges in creating value from business analytics. https://doi.org/10.1016/j.ejor.2017.02.023