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Overview of Business Intelligence through Data Mining
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Author(s): Abdulrahman R. Alazemi (Kuwait University, Kuwait)and Abdulaziz R. Alazemi (Kuwait University, Kuwait)
Copyright: 2014
Pages: 24
Source title:
Data Mining and Analysis in the Engineering Field
Source Author(s)/Editor(s): Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)
DOI: 10.4018/978-1-4666-6086-1.ch015
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Abstract
The advent of information technologies brought with it the availability of huge amounts of data to be utilized by enterprises. Data mining technologies are used to search vast amounts of data for vital insight regarding business. Data mining is used to acquire business intelligence and to acquire hidden knowledge in large databases or the Internet. Business intelligence can find hidden relations, predict future outcomes, and speculate and allocate resources. This uncovered knowledge helps in gaining competitive advantages, better customer relationships, and even fraud detection. In this chapter, the authors describe how data mining is used to achieve business intelligence. Furthermore, they look into some of the challenges in achieving business intelligence.
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