Kurzus nemzetközi vendég- és részidős hallgatóknak

Kar

Informatikai Kar

Szervezet

IK Információs Rendszerek Tanszék

Kód

IPM-22fpiBIE

Cím

Üzleti intelligencia és adat vizualizáció Ea.

Tervezett félév

Őszi

ECTS

3

Nyelv

en

Tantárgy tartalma

Description of the course in a brief and comprehensive form: The course deals with business intelligence that provides a decision support for business activities on empirical data. The term business is understood in a rather broad sense covering activities in different domain of applications, e.g. enterprise, university, public administration, health, finance and banking. Business intelligence summarizes a huge set of models and analytical methods such as reporting data warehousing, data mining, process mining, predictive analytics, organizational mining, and text mining. Business Intelligence Introduction – Definition of Business Intelligence. Modelling Business Intelligence Data Provisioning Data Description and visualization Data Mining for Cross-Sectional Data Data Mining for Temporal Data Process Analysis Analysis of Multiple Business Perspectives

Irodalomjegyzék

R. Sharda, D. Delen, and E. Turban, Business intelligence, analytics, and data science: a managerial perspective, Fourth edition. New York, NY: Pearson, 2018. Grossmann, Wilfried, and Stefanie Rinderle-Ma. Fundamentals of Business intelligence. Springer, 2015.

Ajánlott irodalom

Tufféry, Stéphane. Data mining and statistics for decision making. John Wiley & Sons, 2011. McDonald, Kevin, Andreas Wilmsmeier, David C. Dixon, and W. H. Inmon. Mastering the SAP business information warehouse. John Wiley & Sons, 2002.

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