Reviewing Data Mining as an enabling technology for BI Mustafa Nizamul Aziz & A.K.M. Monzurul Islam

Reviewing Data Mining as an enabling technology for BI

Author (s)

Mustafa Nizamul Aziz & A.K.M. Monzurul Islam

Abstract

Data mining (DM) is the process of discovering or “mining” new knowledge from large databases and applying it to decision making. In recent times, companies have been using a wide range of data mining techniques to better understand their customers and their performance and solve complex business problems. Data mining is a way to develop Business Intelligence (BI) from data that an organization collects, organizes, and stores. The purpose of this paper is to review Data Mining as an enabling technology for Business Intelligence. Documents analysis was used as the data collection method and a qualitative approach was used for data analysis in the study.

Keywords: Data, Information, Knowledge, Data Mining, Business Intelligence, Decision Support.

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Title: Reviewing Data Mining as an enabling technology for BI
Author:

Mustafa Nizamul Aziz & A.K.M. Monzurul Islam

Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.3908987
Media: Online
Volume: 4
Issue: 7
Acceptance Date: 24/06/2020
Date of Publication: 26/06/2020
PDF URL: https://ijsab.com/wp-content/uploads/567.pdf
Free download: Available
Page: 46-51
First Page: 46
Last Page: 51
Paper Type: Research Paper
Current Status: Published

Cite This Article:

Mustafa Nizamul Aziz & A.K.M. Monzurul Islam (2020). Reviewing Data Mining as an enabling technology for BI. International Journal of Science and Business, 4(7), 46-51. doi: https://doi.org/10.5281/zenodo.3908987

Retrieved from https://ijsab.com/wp-content/uploads/567.pdf

 

 

About Author (s)

Mustafa Nizamul Aziz (Corresponding Author), Senior Lecturer, East West University, Dhaka, Bangladesh.

A.K.M. Monzurul Islam, Independent University, Bangladesh.

 

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DOI: https://doi.org/10.5281/zenodo.3908987

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