Dominika Crnjac Milić, Ivana Hartmann Tolić, Marina Peko – THE ROLE OF MODERN INFORMATION TECHNOLOGY AS AN IMPORTANT ASPECT OF BUSINESS INTELLIGENCE IN THE OPTIMIZATION OF LOGISTICS SYSTEMS

Dominika Crnjac Milić, Ivana Hartmann Tolić, Marina Peko – THE ROLE OF MODERN INFORMATION TECHNOLOGY AS AN IMPORTANT ASPECT OF BUSINESS INTELLIGENCE IN THE OPTIMIZATION OF LOGISTICS SYSTEMS

Dominika Crnjac Milić
Faculty of Electrical Engineering, Computer Science and Information
Technology Osijek, J.J. Strossmayer University of Osijek, Croatia
E-mail:
dominika.crnjac@ferit.hr


Ivana Hartmann Tolić
Faculty of Electrical Engineering, Computer Science and Information
Technology Osijek, J.J. Strossmayer University of Osijek, Croatia
E-mail:
ivana.hartmann@ferit.hr


Marina Peko
Faculty of Electrical Engineering, Computer Science and Information
Technology Osijek, J.J. Strossmayer University of Osijek, Croatia
E-mail:
marina.peko@ferit.hr


Abstract


Business intelligence as set of methods for managing large amounts of
information and knowledge about the internal and external business environment in
which companies operate simplifies the decision making process and provides
competitive advantage. However, business intelligence deals with a great quantity of
information, which imposes the need for finding better ways of data structuring.
This paper is based on the hypothesis that the systems of business intelligence
are specific and complex information systems where, apart from the constant need for
the comprehensive and standardized development, an increasing need to adapt to
particularities of business and specific processes of the particular organization occur,
the same as for individual users. A comparison of different information systems that
provide support in making business decisions and ontology as more recent concept of
artificial intelligence is presented. A special emphasis of the paper is on the
ontological structure of the data in the field of logistic operations.
A practical analysis is based on publicly available business data, documents and
information available on the Internet provided by the companies that offer the
complete systems of business intelligence as well as on the pre-established theoretical
and scientific findings of other researchers.
The methods of description, induction, deduction and comparison are used in
this paper.


Key words: business intelligence, information, data, ontology, logistic systems

Last Update: October 26, 2017  

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October 26, 2017   42    BLMM 2017  
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