Management Aspects of the Business Intelligent Systems Development

Abstract

In today’s era of the intelligent economy companies are operating in an environment of fierce competition that could be measured and analyzed by the level of successful management. Corporate performance is faced with the challenge to meet the requirements of the dynamically changing market conditions and is be based on the proper and timely management decision making. Organizations have to become intelligent in collecting, understanding and using data for making management decisions in order to successfully carry out business activities. Business Intelligent Systems (BIS) become the key functional component of modern companies that links data, information, people and technology, and results in successful organization management. Business Intelligence (BI) is a set of concepts, methods and processes that support the improvement of the decision making process by using different sources of information, applying previous experience and defining assumptions to obtain an accurate picture of business dynamics. The logical architecture of BIS is structured in three main layers, Management of Data, Management of Data Integration and Analytical Models, and Management of Data Visualization, each providing specific tools for user interaction. The successful implementation of BIS requires an appropriate use of all the data generated in the enterprise to improve the managerial capacity for transforming data into information and information into knowledge and competitive advantage. Strategic aspects at various levels, Information, Users and Organization, should be taken into consideration in BI project planning and development, in order for those initiatives to be successfully fulfilled. This article presents the main advantages and disadvantages of the BI solutions developed by the leading BI vendors, identified in the Gartner’s Magic Quadrant for BI Platforms 2012. Characteristics that will be leading in the next generation BI decisions are described, exposing some of the underperformed BI solutions which are already focusing on them. Visioning forward, BI tools vendors will begin introducing embedded BI in operational applications and missioncritical business processes.