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Business intelligence applications in finance
Business intelligence applications in finance









However, it is necessary to notice that the very knowledge is not enough. Knowledge also facilitates multidimensional and prognostic perception of organisation and its environment. It is possible to create innovative and customised products and develop new relationships with customers and partners. Knowledge allows for more effective risk management and cost optimisation. Knowledge becomes a major determinant of organisation competitive advantage.

business intelligence applications in finance

The paper is focused on the main business analyses that are offered by the BI systems and that can be applied in business practice. The article aims at presenting an idea of Business Intelligence Systems (BI) and its role in creating for competitive advantage of a contemporary enterprise. BI systems provide a solution that fills an informational gap mainly within strategic and financial analyses, customer expectations, and analyses of a company and market. They enable an intelligent exploration of data that originate from many dispersed information sources, online multidimensional analysis and presentation in different layouts and perspectives. OLAP (On-line Analytical Processing) and data mining, they create a new generation of decision support systems (Gray, 2003). Taking advantage of data warehouse technologies and two basic techniques of data analysis i.e. It is sad that BI systems constitute an important upturn in techniques of working with information (Liautaud, Hammond 2001). There appears a new chance to realise an information democracy model that provides opportunities for creating information in numerous variations, and utilising information for various purposes (including solving present and future problems) by different entities involved in the chain of values creation. In 2009 we will observe more flexible dashboards that let users model and simulate reality using historical data, collaborate more closely with others, and close the loop between decisions and actions (Power, 2009).īusiness Intelligence Systems (BI) concept that combines technologies of data warehouses, analytic techniques including OLAP and data mining and presentation techniques introduces a real breakthrough in work with information.

business intelligence applications in finance

The analytic applications are becoming more popular. By the year 2010, BI services should be at least $15 billion annually. It is estimated that BI platforms is about a $5.5 billion market. Last years Business Intelligence (BI) technology in particular has shown good return on investment in some applications and is benefiting from a large concentration of research and development (Cody, Kreulen, Krishna, Spangler, 2002). Many enterprises are becoming “knowledge-centric”, and therefore a large number of employees need access to greater variety of information to be effective.Įnterprises have been investing in technology in an effort to manage the information glut and to glean knowledge that can be leveraged for a competitive edge. This challenge becomes more difficult with the constantly increasing volume of information, both internal and external to an enterprise. University of Economics, Katowice, critical component for the success of the modern enterprise is its ability to take advantage of all available information.

business intelligence applications in finance

BusinEss intelligence systems in knowledge managementĪnd creating competitive advantage of an enterprise











Business intelligence applications in finance