DATA MINING AND WAREHOUSING
Abstract
The aim of this paper is to show the importance of using data warehousing and data mining nowadays. It also aims to show the process of data mining and how it can help decision makers to make better decisions. The foundation of this paper created by doing a literature review on data mining and data warehousing. The models developed based on the knowledge gained from the literature review and a real case implementation. The most important findings are the phases of data mining processes, which are highlighted by the developed model, and the importance of data warehousing and data mining. It can help to get better answers which allow both technical and nontechnical users to make much better decisions. Practically, data warehousing and data mining is really useful for any organization which has huge amount of data. Data warehousing and data mining help regular (operational) databases to perform faster. They also help to save millions of dollars and increase the profit, because of the correct decisions made with the help of data mining. This paper shows the process of data mining and how it can be used by any business to help the users to get better answers from huge amount of data. It shows an alternative way of querying data. Instead of doing regular queries from regular databases, data
mining goes further by extracting more useful information.
Author
B.Manivannan,
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