Reviewing Data Mining as an enabling technology for BI

Mustafa Nizamul Aziz and A.K.M. Monzurul Islam
Additional contact information
Mustafa Nizamul Aziz: Senior Lecturer, East West University, Dhaka, Bangladesh.
A.K.M. Monzurul Islam: Independent University, Bangladesh.

International Journal of Science and Business, 2020, vol. 4, issue 7, 46-51

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 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://ijsab.com/wp-content/uploads/567.pdf (application/pdf)
https://ijsab.com/volume-4-issue-7/3060 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aif:journl:v:4:y:2020:i:7:p:46-51

Access Statistics for this article

International Journal of Science and Business is currently edited by Dr. Md Shamim Hossain

More articles in International Journal of Science and Business from IJSAB International
Bibliographic data for series maintained by Farjana Rahman ().