Bachelor 2023/2024

Business Intelligence Systems

Type: Elective course

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: Margarita Gladkova, 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

Assessment Elements

• Exam
• Cases
• Hometasks
• In-class activity

Interim Assessment

• 2023/2024 2nd module
  0.3 * Cases + 0.3 * Exam + 0.3 * Hometasks + 0.1 * In-class activity

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