(35.172.111.71)
Users online: 5211    [ij] [ij] [ij] 
Email id
 

Research Journal of Humanities and Social Sciences
Year : 2017, Volume : 8, Issue : 1
First page : ( 32) Last page : ( 36)
Print ISSN : 0975-6795. Online ISSN : 2321-5828.
Article DOI : 10.5958/2321-5828.2017.00005.5

Data mining and optimization for effective decision making

Kannan S.1, Ruban A. Albert Martin2,*

1Dept. of IT, Kings College of Engineering, Tamil Nadu, India.

2Dept. of EEE, Kings College of Engineering, Tamil Nadu, India.

*Corresponding Author: A. Albert Martin Ruban Associate Professor, Dept. of EEE, Kings College of Engineering, Tamil Nadu, India. albertrubankings2016@gmail.com

Online published on 22 September, 2017.

Abstract

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users enable the better optimal business decisions. Business Intelligence (BI) is about getting the right information, to the right decision makers, at the right time. Dynamic decision making is effectively dealt with through an instinctive approach, and require precisely based on Analytical methodologies and Mathematical models. This paper describes the basic knowledge of Business intelligence and suitable optimization techniques for the optimal and dynamic decision making in the current business world. This paper aims at analyzing Business Intelligence Systems (BI) in the context of opportunities for improving decision-making in a contemporary organization.

Top

Keywords

Business Intelligence, Decision making, Optimization techniques, Data mining.

Top

  
║ Site map ║ Privacy Policy ║ Copyright ║ Terms & Conditions ║ Page Rank Tool
556,116,341 visitor(s) since 30th May, 2005.
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.