BI technologies offer current, historic and predictive views of business operations. The most commonly used features of BI technologies, online analytical processing, data mining, reporting, analysis, business performance management, text mining, predictive analytics and text mining.
Business Intelligence expands its support for organizations and aims at a better decision. Therefore, a business intelligence system can also be referred to as Decision Support System or DSS. The term Business Intelligence is a synonym for competitive intelligence, since they both support decision making. It also uses BI processes, applications and technologies for the analysis of structured, internal data and business processes. However, the emphasis is on competitive intelligence collection, dissemination and analysis of information in the presence or absence of technical support. In addition, focusing both on external and internal all-source data (structured or unstructured), and information. business intelligence can also apply various business purposes, with the aim of driving business value can be used. These include measurement, analysis, enterprise reporting and collaboration platform and knowledge management. Measurement includes programs that assist in creating a hierarchy of performance metrics and benchmarking, the best information to business owners about achieving business goals. As well, quantitative analysis method for companies to reach optimal decisions to help. In addition, it also helps in the implementation of the Business Knowledge Discovery. Analytics includes the statistical analysis, predictive modeling, predictive analytics and Business Process Modeling. Enterprise Reporting is building infrastructure to support the strategic requirements of a business address. It includes OLAP, Executive Information System and Data Visualization. Also includes collaboration platform is the collaboration between different areas of the electronic data exchange and data sharing. Furthermore, to make knowledge management an enterprise data-driven distributed through various practices and strategies that create, set to identify and facilitate adoption of experiences and insights, business knowledge is in the truest sense. Knowledge management also facilitates regulatory compliance and learning management. There are several factors that are crucial for the implementation of Business Intelligence. These include vision and planning, quality and data management, mapping solutions as per the request of users, performance considerations, extensible and robust framework, project management and business-driven methodology.