The scope of the course is to help students to:
• understand the usefulness of business intelligence in modern enterprises
• be familiarized with the application of business intelligence methods and techniques that support problem solving.
Upon successful completion of the course, the student will be able to:
• explain the benefits from business intelligence systems utilization for the enterprise
• implement data warehouses and perform OLAP tasks
• apply methods and techniques of data visualization
• describe the intelligent decision support systems
• apply methods of data preprocessing and data mining
• explain the applications of recommendation systems and the categories of technologies that they use
• use specialized business intelligence software for problem solving
General Competences:
• Search, analyze and synthesize data and information, using the necessary technologies
• Adapt to new situations
• Decision-making
• Work autonomously
• Work in teams
• Working in an interdisciplinary environment
• Production of new research ideas
• Production of free, creative and inductive thinking
Suggested Bibliography in Greek Language:
Κύρκος, Ε. (2015). Επιχειρηματική Ευφυΐα & Εξόρυξη Δεδομένων, [ηλεκτρ. βιβλ.] Αθήνα: Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο:, http://www.kallipos.gr
Μοχάμεντ, Ζ. Τζ. & Γουάγκνερ Μ. (2017). Εξόρυξη και Ανάλυση Δεδομένων, Βασικές Έννοιες και Αλγόριθμοι, Κλειδάριθμος
Νανόπουλος, Α. & Μανωλόπουλος, Ι. (2010). Εισαγωγή στην Εξόρυξη και τις Αποθήκες Δεδομένων. Εκδόσεις Νέων Τεχνολογιών, Αθήνα.
Σταλίδης, Γ. και Καρδαράς, Δ. (2015). Διαχείριση Δεδομένων και Επιχειρηματική Ευφυΐα, Θεωρία και εφαρμογές για Στελέχη επιχειρήσεων, [ηλεκτρ. βιβλ.] Αθήνα: Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/1161
Tan P. – N., Steinbach M., Kumar, V. (2010). Εισαγωγή στην εξόρυξη δεδομένων, Εκδόσεις Τζιόλα & Υιοί, Α.Ε.
Suggested Bibliography in English Language:
Quaddus, M., & Woodside, A., (2015). Sustaining competitive advantage via Business Intelligence, Knowledge Management, and System Dynamics, Emerald Books, 1st edition
Provost F. & Fowcett T. (2013). Data Science for Business, O' Reilly Media.
Ramesh, S & Dursun, D., Turban, E. (2018). Business Intelligence, Analytics and Data Science A Managerial Perspective, 4rd edition, Pearson Education (US),
Sabherwal, R., & Beccera – Fernandez, I. (2011). Business Intelligence Practices, Technologies and Management. John Wiley and Sons Inc.
Vercellis, C. (2009). Business Intelligence: Data mining and optimization for decision making, John Wiley and sons
Related academic Journals:
International Journal of Business Intelligence
Business Intelligence Journal
Data Mining and Knowledge Discovery
Intelligent Data Analysis
International Journal of Business Intelligence and Data Mining, Interscience Publishers
International Journal of Data Warehousing and Mining
Instructor's Notes
