AGRICULTURAL
UNIVERSITY OF ATHENS
Department of Agribusiness
& Supply Chain Management

5805 - Business Intelligence Systems (BI)

Content

1. Introduction to Business Intelligence (BI): Business Intelligence definitions, BI systems architectures, BI benefits. Applications of BI in Businesses

2. Intelligent Decision Support Systems: Analytic Hierarchy Process (AHP). Fuzzy Analytic Hierarchy Process (FAHP). Expert systems. Neural Nets. Intelligent Agents. Genetic Algorithms

3. Business Intelligence and Data Warehouses: Procedures. Architectures. Data Integration.

4. Business Intelligence and Data Warehouses: Developing Data Warehouses. Data marts. OLAP and OLTP

5. Data visualization: Methods and techniques

6. Data mining: Definition. The procedure of extracting knowledge from data. Data mining in modern enterprises

7. Data mining: Data preprocessing.

8. Methods of data mining: Association rules

9. Methods of data mining: Classification. Clustering.

10. Recommendation systems

11. Data mining software

12. Business Intelligence Applications in supply chain

13. Business Intelligence project management

Learning results

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

Bibliography

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

    Faculty

    Office Hours: Tuesday 12:00-14:00 and Friday 11:00-13:00 (tel. : 2262022569)
    marinagi@aua.gr
    Aikaterini (Catherine) Marinagi is a Professor of Software Engineering and Chair at the Department […]

    NEWSLETTER

    The Department was created in 2019 (article 20, Law 4589/2019) and is an evolution of the Supply Systems Management Department (D.S.E.). Housed in a 770 sq.m. building. within a plot with a total area of 8,000 sq.m. in facilities with extensive research and teaching spaces.
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