International Journal of Engineering and Management Research (IJEMR)
Year : 2017, Volume : 7, Issue : 4
First page : ( 121) Last page : ( 127)
Print ISSN : 2394-6962. Online ISSN : 2250-0758.

Data Mining for Business Intelligence

Abdussalm P.K

Assistant Professor and Head of the Department of Commerce, NWC, Manjeri, Affiliated to University of Calicut, Kerala, India

Online published on 31 October, 2017.

Abstract

Data mining is the process of mining data. Data mining (DM) is used to search for patterns and correlations within a database of information. Business intelligence (BI) focuses on detail integration and organization. DM aids BI's objectives. DM and BI work together to process data and analyze it in a way that eases the workload for the users and aids with the understanding of the materials/findings. This is accomplished through recognizing relationships in the data and identifying opportunities and risks of the company. It also allows users to manipulate the data to fulfill their specific user-oriented objectives. Business Intelligence (BI) solutions have for many years been a hot topic among companies due to their optimization and decision making capabilities in business processes. The demand for yet more sophisticated and intelligent BI solutions is constantly growing due to the fact that storage capacity grows with twice the speed of processor power. This unbalanced growth relationship will over time make data processing tasks more time consuming when using traditional BI solutions.

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Keywords

Data warehouse, Data mining, Business intelligence, Mining tasks.

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