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Over the past few decades, organizations have built huge databases by collecting a large amount of data. There are several factors that contribute to the generation and collection of such of data. These factors include computerization of business, scientific and government transactions, advancement in data col-lection tools such as digital cameras, scanners, satellite remote sensing systems, etc., and widespread use of World Wide Web. With the continuous increase in the amount of data, the need arises for having new tools and tech-niques that can assist knowledge workers in transforming the vast amounts of data into useful infor-mation. Some of these tools and techniques include data warehousing, online analytical processing (OLAP), and data mining. Data warehousescontain consolidated data from many sources, augmented with summary information, and covering a long time period. OLAPrefers to the analysis of complex data from the data warehouse, and data miningrefers to the mining or discovery of new information in terms of patterns or rules from a vast amount of data. These tools provide the correct level of informa-tion to help the decision makers in decision making