Introduction to Business Intelligence: Business Intelligence definitions, architectures, benefits. Applications in Businesses
Business Intelligence and Data Warehouses: Procedures. Architectures. Data Integration.
Business Intelligence and Data Warehouses: Developing Data Warehouses. Data marts. OLAP and OLTP
Data visualization: Methods and techniques
Intelligent Decision Support Systems: Analytic Hierarchy Process (AHP). Fuzzy Analytic Hierarchy Process (FAHP). Expert systems. Neuronic Nets. Intelligent Agents. Genetic Algorithms
Data mining: Definition. Data mining in modern enterprises
Data mining: The procedure of extracting knowledge from data. Data preprocessing.
Methods of data mining: Classification. Clustering. Association rules
Recommendation systems
Data mining software (e.g. RapidMiner)
Business Intelligence Applications in supply chain (A)
Business Intelligence Applications in supply chain (B)
Business Intelligence project management
A combination of teaching and learning methods will be used, aiming at the active participation of the students and the practical application of the thematic units under examination; there will also be lectures using audiovisual media, discussions, and analyses of case studies on real business issues, experiential (group) activities, as well as projections of relevant videos.
The students will also undertake an individual or group project.
Furthermore, articles, audiovisual lecture materials, web links/addresses, useful information, case studies and exercises for further practice are posted in digital form on the AUA Open e-Class platform.
The aim of the course is:
The course aims to present the usefulness of business intelligence in modern enterprises to the students, and to familiarize them 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
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
