ABSTRACT
Business Intelligence is a process of taking large amounts of data, analyzing that data, and presenting a high-level set of reports that condense the essence of that data into the basis of business actions, enabling management to gain new insights and thereby contributing to their business decisions. A database is a collection of data organized to serve many applications efficiently by centralizing the data and controlling redundant data. OLAP provides multidimensional and summarized views of business data and is used for modelling, analysis, reporting and planning of business activities. Data-mining techniques are tools supporting the Officer-to-Information Stage, where information from knowledge workers is stored and made available to everyone in the organization and to prioritized external partners. Multivariate data analysis, such as linear regression, cluster analysis and canonical correction, may reveal relationships that were not visible to detectives. Artificial intelligence techniques, such as genetic algorithms, case-based reasoning and fuzzy logic may create new insights into susceptive financial transactions.
