Abstract - This research study demonstrates analysis of key success factors for business intelligence systems implementation. The analysis is based on the review of a large amount of literature on this subject matter, industrial presentations, and on the processing of data obtained from interviews with several companies. Keywords - Key factors, business systems, intelligent systems I. INTRODUCTION DEA of implementation of informatics systems in an enterprise has for its goal to constantly increase participation of intelligent systems in decision-making process and making of right decisions for the enterprise’s business operation. Companies increasingly recognize the importance of information technologies that would support easier achievement their strategic goals. With growing demand of information systems which support efficient decision making, new related terms were created: data storage, knowledge management, decision-making support systems, data research, online analytic data processing, whereas later the term business intelligence will largely cover all those terms [1]. Although business intelligence is a priority for enterprises, its successful implementation and use may be complicated due to numerous factors, as indeed happens with many other great information systems [1], [2]. These factors include: organizational factors (harmonization with management strategy, support, project success support, key users resistance), system factors (selection of sellers, architecture, access tools, accessibility of skills), project factors (resources, project skills, change management, successful completion of user’s training), data-factors [1], [3]. II. LITERATURE REVIEW This section is devoted to the literature that was used and studied in preparation of this paper. Its objective is to discuss the role of informatics software. Study of literature shows that understanding of informatics software in decision making differs depending on the literature that was used. Further on, the chapter discusses questions related to use and implementation of business intelligence. Researchers tried to identify the factors contributing to business intelligence success. These factors are usually named critical success factors and their relevance for information systems is examined in this chapter, by presenting critical factors of great importance. [4] Conceptual framework [2], [5], was made in relation to the literature which connects identified critical success factors with ERP systems related to business intelligence. This study uses three significant research question: 1) Which key success factors are related to the implementation of business intelligence as an extension of ERP system? 2) Are critical success factors of ERP systems implementation deemed relevant for the implementation of business intelligence which is realized as an extension of ERP system extension? 3) Are some of the identified critical success factors more critical than others? TABLE I BUSINESS INTELLIGENCE CRITICAL SUCCESS FACTORS [6]…[18]. Authors Methods used Critical success factors Farley (1998) Conceptual method Fast implementation, adaptable to business requirements, useful information, easy to navigate Watson & Haley (1997) Research in an organization Management support, adequate resources, change management, metadata management. Chen & Associates (2000) End users survey Users satisfaction Sammon and Finnegan (2000) Study of organization to identify organizational success factors Business led approach, management support, adequate resources, involved budget and skills, data quality; flexible enterprises models, data management, automatic data extraction strategy, methods and tools, integration of Data Warehouses with the existing systems,; hardware and software concept proof Little & Gibson Organization survey Management support, overall organization approach, data ANALYSIS OF KEY SUCCESS FACTORS FOR BUSINESS INTELLIGENCE SYSTEMS IMPLEMENTATION Nebojsa DENIC 1 , Vuk VUJOVIC 1 , Sasa FILIC 1 , Boban SPASIC 1 1 Faculty of information technology, Alfa University Belgrade, denicnebojsa@gmail.com 1 Faculty of information technology, Alfa University, Belgrade, vuk.mba.bg@gmail.com 1 Faculty of information technology, Alfa University, Belgrade, sashafilic@gmail.com 1 Faculty of information technology, Alfa University, Belgrade, bobanspasic11@gmail.com I ANNALS OF THE UNIVERSITY OF ORADEA Fascicle of Management and Technological Engineering ISSUE #2, AUGUST 2016, http://www.imtuoradea.ro/auo.fmte/ 73