Academic data warehouse design using a hybrid methodology | Zendy

Tria Di | Zendy; Ezio Lefons | Zendy; Filippo Tangorra | Zendy

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Academic data warehouse design using a hybrid methodology

Author(s) -

Tria Di,

Ezio Lefons,

Filippo Tangorra

Publication year - 2014

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis140325087d

Subject(s) - computer science , data warehouse , business intelligence , context (archaeology) , process (computing) , quality (philosophy) , architecture , order (exchange) , business process , data science , knowledge management , data mining , work in process , art , paleontology , epistemology , economics , visual arts , biology , operating system , business , marketing , philosophy , finance

In the last years, data warehousing has got attention from Universities which are now adopting business intelligence solutions in order to analyze crucial aspects of the academic context. In this paper, we present the architecture of a Business Intelligence system for academic organizations. Then, we illustrate the design process of the data warehouse devoted to the analysis of the main factors affecting the importance and the quality level of every University, such as the evaluation of the Research and the Didactics. The design process we describe is based on a hybrid methodology that is largely automatic and relies on an ontological approach for the integration of the different data sources

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