Course: null

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Course title -
Course code KIN/BUI
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional, Optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
  • Podaras Athanasios, Ing. Ph.D.
Course content
Lectures (topics): 1. Introduction to Business Intelligence. Information, data, knowledge. Information and communication. 2. Goals and organizational information needs. Business Intelligence and IS / ICT. External and internal information sources. 3. Business Intelligence as part of IS / ICT. Business Intelligence components, architecture. 4. Data warehouses, OLAP analysis and data mining. Data warehouses: Data sources. Design of data warehouses. 5. Business Intelligence as an Intelligence Process. Business Intelligence Specifics. Human Resources. 6. Competitive and Defense News. Influential reporting. Morale, Ethics. 7. Unstructured Data and Business Intelligence. Data warehouse design, architecture. Business Intelligence in an organization. 8. Organizations dealing with Business Intelligence. New Trends and Expected Developments. Seminars (topics): The seminars are followed by consultations and subsequent presentations of the students' independent work in connection with lecture topics.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing), Dialogue metods(conversation,discussion,brainstorming), Lecture, Practicum
Learning outcomes
In order to gain the competitive advantage and to remain in the market, it is important to acquire information. The course deals with external and internal information sources of the organization, methods of analysis and evaluation of information, as well as with the use of technologies in their processing.


Assessment methods and criteria
Oral exam, Written exam, Practical demonstration of acquired skills

Credit: processing and presentation of selected topics Exam: oral exam
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