Faculty of Technical Sciences

Subject: Business Intelligence (17.IMS461)

General information:
 
Category Professional-applicative
Scientific or art field Information-Communication Systems
ECTS 5

The goal of this course is to introduce students to the specific methods and techniques that are used in the business intelligence domain: data gathering, analysis and transfer from the source systems to the data warehouse, as well as data visualization and presentation to business users for use in organizational planning, decision-making and operational activities.

Students will use the acquired knowledge in their professional work and further professional development. Students will gain knowledge on how to run the process of collection, analysis and transfer of data and information necessary to the formulation and implementation of specific strategies and decision-making processes in the company.

Data collection concepts; Integration of data from different sources into a data warehouse; ETL process; Tools for business reporting and data presentation to business users; Self-service BI tools; Identifying trends and patterns present in the data

Lectures, computer labs, practical examples, case study.

Authors Title Year Publisher Language
Said, A., Torra, V. Data Science in Practice (Studies in Big Data) 2018 Springer English
Course activity Pre-examination Obligations Number of points
Written part of the exam - tasks and theory No Yes 70.00
Project Yes Yes 30.00
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Prof. Mirković Milan

Full Professor

Lectures
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Prof. Mirković Milan

Full Professor

Computational classes
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Assistant - Master Antanasijević Dajana

Assistant - Master

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.