Course: Business Intelligence

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Course title Business Intelligence
Course code KIN/BIN-E
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 6
Language of instruction English, English
Status of course unspecified
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Podaras Athanasios, Ing. Ph.D.
Course content
Lectures 1. BUSINESS INTELLIGENCE (BI). Introduction. Conception of BI. Information, data, knowledge. Information and communication. 2. Organizational goals and information needs. BI and IS/ICT. External and internal information resources. 3. BI AS PARTS OF IS/ICT. Components BI, architecture. 4. Data warehouse (DW). OLAP analysis, data mining, Data warehouse data resources. DW design. 5. BI AS INTELLIGENCE PROCESS. Specifics of BI in organization. Human resources. 6. Competitive and defensive intelligence. Lobbing. Morals, ethics. 7. Companies dealing with BI - professional presentations. New trends in BI.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing), Dialogue metods(conversation,discussion,brainstorming), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments)
  • Class attendance - 28 hours per semester
Learning outcomes
The characteristic trend in organizations is to support their competitiveness. Information has strategic importance for organizations. The subject deals with internal and external sources of information for decision support and the possibilities of their analysis. It also address at today's trends of information systems from the view of information extraction for decision support too
Students obtain knowledge in given course in accordance with requirements and course programme. They gain overview about sources of information for decision support and the possibilities of their analysis.
Prerequisites
Knowledge of modules Informatics 1 and Informatics 2, Introduction of Microeconomics and Business Management.

Assessment methods and criteria
Oral exam, Written exam

1. Elaboration and presentation of selected topics
Recommended literature
  • GRONWALD, K. D. Integrated Business Information Systems:A Holistic View of the Linked Business Process Chain ERP-SCM-CRM-BI-Big Data.. Berlin: Springer, 2017. ISBN 978-3-662-53291-1.
  • GROSSMAN, W. a M. A. RINDERLE. Fundamentals of Business Intelligence. Data Centric Systems and Applications.. Berlin: Springer, 2015. ISBN 978-3-662-46531-8.
  • KIMBALL, R., ROSS, M. The Data warehouse lifecycle toolkit : [practical techniques for building data warehouse and business intelligence systems], 2nd edition. Wiley Publishing,, 2008. ISBN 978-0-470-14977-5.
  • NOGUÉS, A. a J. VALLADARES. Business Intelligence Tools for Small Companies:A Guide to Free and Low-Cost Solutions. New York: Apress Media, 2017. ISBN 978-1-4842-2568-4.
  • RODENBERG, J.H. Competitive Intelligence and Senior Management. The University of Chicago Press, 2008. ISBN 9789059721920.
  • VAISMAN, A. a E. ZIMANYI. Data Warehouse Systems: Design and Implementation.. Berlin: Springer, 2014. ISBN 978-3-642-54655-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester