engleski

Possibilities of the Business Intelligence Model Application in Supply Chains

Business Intelligence (BI) is a data-driven Decision Support System (DSS) that combines data gathering, data storage, and knowledge management with analysis to provide input to the decision process. Business Intelligence emphasizes analysis of large volumes of data about the company and its operations because analyses ranges from simple reporting to slice-and-dice, drill down, answering ad hoc queries, real-time analysis, and forecasting. In this paper we will analyze application possibilities of BI in supply chains because some logistics companies still do not know the structure of their logistics costs, and the information is not managed effectively, and consequently, real people do not have accurate information at the right time and right place. Successful application of this approach contributes to minimizing costs, increasing efficiency of the entire supply chain more efficient use of working capital, the right choice of suppliers, optimizing inbound and outbound logistics, inventory carrying out active and growing, developing and improving the overall business. Analytical data processing combines the use of different methods to a series of processed fragmented data to obtain useful information. When we take into account how much capital is spent on the inefficient practice of supply and distribution, it is clear why companies need a business intelligence function in consolidating, optimizing and increasing the transparency of this process of transformation and purchasing functions to obtain a function with the help of corporate portals. The aim of this paper is to show that the analysis of relevant data of supply chains is to identify trends and patterns, and formulating a series of scenarios, can predict probable future outcomes and uncover potential opportunities and barriers in the supply chain.

logistics ; supply chains ; business intelligence

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