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Large customer base need to be maintained through use

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software and hardware becomes key when the business grow and gain large customer base. Large customer base need to be maintained through use of computer software for their buying behaviour to be captured in real time. Data mining utilises the technology of algorithms to discover the business trend thus giving the management and other departments within the organization an insight on how manage
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their consumers. Data mining technology which came into prominence in 1994, uses the processes of sampling, exploring, modifying, modelling and assessing(SEMMA) to come up with a meaningful information. Data mining tools are classified according to their usage which are, description and visualisation, association and clustering and classification and estimation (Koh & Gerry, 2002). In description and visualisation, data set that is complex with hidden patterns is understood. In association and clustering objectives that go together are placed in one category while in estimation, variables that are categorical in nature are clearly predicted. According to Koh & Gerry (2002), data mining is used by organizations to outshine their competitors and is commonly used in marketing, fraud control and risk management sectors. For instance, companies like Chase Manhattan Bank, Bank of America, Fingerhut, Wal-Mart, boots PLC and Bell Atlantic use data mining to carry out their operations. In banking, data
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