Approach to business intelligence in electronic operations

INTRODUCTION
Each company represents a dynamic system, which is characterized by its current status as well as the situation in which the system can go into the future. These conditions are expressed by means of large amounts of data, which are registered in different types of information systems, documents, business records and other carriers of information. Processing of these data, the correlation between them and their transformation into information represents a significant development potential. Information is a key factor in decision-making at any level of operating through the middle to strategic decision-making levels, and in this sense their adequate generation and interpretation has a significant impact on the choice of management actions enterprise management. Electronic business method becomes dominant compared to the previous methods, productivity, efficiency and effectiveness, as a measure of success of business processes, are directly related to the quality and level of implemented information technologies that support these processes.

Information technology infrastructure constitute the basis for the process of business intelligence system. Business Intelligence is part of the organization’s information system specifically developed to enable performance management organization. Business intelligence is an area in the field of information technology, which aims to overall enterprise information resources put to use making top quality decisions in order to achieve established strategic goals of the company. This is a complex area that includes various types of technologies and approaches in the field of information technology, management, statistics and mathematics.

The main objective of this paper is to define the concept of business intelligence, display basic characteristics and present ways of integrating business intelligence into business processes. In addition, the paper deals with the detailed description of the basic techniques and business intelligence tools, and methodologies for displaying their implementation.

In the first chapter are given general information about business information systems, and the causes of their application. Also presented are some types of these systems and presents their evolutionary flow.

The second chapter deals with the general concept of business intelligence. In there are definitions of the term business intelligence, describe techniques for integrating business intelligence into business processes and presents the types of business intelligence applications that are used in modern business.

The third chapter in addition to the definition of a data warehouse introduces the concepts and processes OLAP (On-Line Analytical Processing) and gambling (Data cubes). In addition to this paper illustrates the architecture of a data warehouse with a detailed description of all the components from which the system is composed.

The fourth chapter of this work relates to data mining, surely one of the most complex and most frequently used techniques of business intelligence. This chapter is based on the notion of knowledge discovery and describes its relationship to data mining infection. Then provides an overview of the development of data mining, defines its concept and methodology, and finally presents briefly the techniques of data mining and unstructured data such as text mining, web mining, and multimedia data mining.

In the final chapter, in order to illustrate the possibilities of practical application of business intelligence, i.e., its techniques in the field of electronic education, provides a description of business intelligence tools that are in SQL Server Business Intelligence Development Studio, as well as an example of using the given tools to generate data mining models over a specific database that is obtained from the application of distance learning – “Moodle”, and database information system of postgraduate studies at the Faculty of Organizational Sciences in Belgrade.

1. INFORMATION SYSTEMS OPERATIONS
In the dynamic environment of today, it is crucial for a company to a wide range of business customers provide an efficient, fast, cheap and easy access to the necessary information. This includes the obligatory presence of information technology in all business process companies. As has already been said information technology infrastructure for the informational basis for business processes in the business system, and the results of operations are directly proportional to the quality and level of implemented information technologies. Therefore, the main goal of applying IT (Information The technology) is to increase the productivity, efficiency and effectiveness of business processes. The first step in realizing this goal is the selection of appropriate information systems from the category’s ERP (Enterprise Resource Planning). Information systems in this category include information support for most business functions at all levels, from the operational to the strategic. ERP solutions fall into the category of operational transaction systems, and provide informational support current operations. As a kind of upgrade ERP systems emerge decision support systems (DSS – Decision Support Systems), which are Based the ERP data, historical data, and many other data sources in the enterprise and beyond. These systems use a special kind of database that are called data warehouse, in which the data is organized in a way that is suitable for reeling analytical processes over large data sets. Data warehouse databases consist of a data mart’s, logical segments that relate to specific business segments. The approach applied in these information systems is called OLAP (On-Line Analytical Processing), as opposed to OLTP (On-Line Transaction Processing) approach, which is linked to the transactional database, which will be discussed in more detail in the following sections of this paper. As the information technology subject of ongoing and systematic training and development, and to decision support systems evolve and today are an integral part of business intelligence (BI – Business Intelligence) and system performance management system (CPM – Corporate Performance Management).