Author(s):
S. Kannan, A. Albert Martin Ruban
Email(s):
albertrubankings2016@gmail.com
DOI:
10.5958/2321-5828.2017.00005.5 
Address:
S. Kannan1, A. Albert Martin Ruban2
1Associate Professor , Dept.of IT, Kings College of Engineering, Tamil Nadu, India.
2Associate Professor , Dept.of EEE, Kings College of Engineering, Tamil Nadu, India.
*Corresponding Author
Published In:
Volume - 8,
Issue - 1,
Year - 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.
Cite this article:
S. Kannan, A. Albert Martin Ruban. Data Mining and Optimization for Effective Decision Making. Research J. Humanities and Social Sciences. 8(1): January - March, 2017, 32-36. doi: 10.5958/2321-5828.2017.00005.5
Cite(Electronic):
S. Kannan, A. Albert Martin Ruban. Data Mining and Optimization for Effective Decision Making. Research J. Humanities and Social Sciences. 8(1): January - March, 2017, 32-36. doi: 10.5958/2321-5828.2017.00005.5 Available on: https://rjhssonline.com/AbstractView.aspx?PID=2017-8-1-5