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Open source business intelligence platform
Open source business intelligence platform













open source business intelligence platform open source business intelligence platform

Initially, this concept was associated with organizational management more than the technological area and referred to the set of models and methods that promoted decision making, using support systems sustained on data (Information Week, 2006 Lim et al., 2012). The concept of BI appeared around 1989 by Howard Dresner. It can also be described as the mechanism that “provides actionable information delivered at the right time, at the right location, and in the right form to assist decision makers” (Langseth & Vivatrat, 2003). Business Intelligence can be defined as a system that “combine data gathering, data storage, and knowledge management with analytical tools to present complex and competitive information to planners and decision makers” (Negash & Gray, 2003). They also evaluated and compared six major open source BI platforms: Actuate, Jaspersoft, Jedox/Palo, Pentaho, SpagoBI, and Vanilla and six major commercial BI platforms: IBM Cognos, Microsoft BI, MicroStrategy, Oracle BI, SAP BI, and SAS BI & Analytics.īusiness Intelligence (BI) is a collection of decision support technologies for enterprises aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. In this chapter, the authors present a comparative analysis of commercial and open source BI tools capabilities, in order to aid organizations in the selection process of the most suitable BI platform. Organizations must make good use of business intelligence platforms to quickly acquire desirable information from the huge volume of data to reduce the time and increase the efficiency of decision-making processes. Business intelligence (BI) is a collection of decision support technologies that enable executives, managers, and analysts to make better and faster decisions.

open source business intelligence platform

However, today's data warehouse systems do not have the capacity to handle the massive amount of data that is currently produced. AbstractA big data warehouse enables the analysis of large amounts of information that typically comes from the organization's transactional systems (OLTP).















Open source business intelligence platform