THE ROLE OF MODERN INFORMATION TECHNOLOGY AS AN IMPORTANT ASPECT OF BUSINESS INTELLIGENCE IN THE OPTIMIZATION OF LOGISTICS SYSTEMS

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