International Journal of Information Engineering and Electronic Business (IJIEEB)
IJIEEB Vol. 7, No. 1, 8 Jan. 2015
Cover page and Table of Contents: PDF (size: 631KB)
Enable Better and Timelier Decision-Making Using Real-Time Business Intelligence System
Full Text (PDF, 631KB), PP.43-48
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Author(s)
Darshan M. Tank
1,*
Index Terms
Business Intelligence, Data and Knowledge Mining, Data Warehousing, Real-Time Data Warehouse, Decision Support System, Information Retrieval
Abstract
Today’s businesses need support when making decisions. Business intelligence (BI) helps businesses to make decisions based on good pre-analysis and documented data, and enables information to be presented when and where the decisions need to be made. Real time business intelligence (RTBI) presents numbers in real time, providing the decision makers at the operational and tactical layers with data as fresh as it can be.
By having accurate, fresher and a bigger amount of data, businesses will be able to make decisions in a faster pace, and eliminate tedious complexity of the decision-making process.
The objective of this research is to show that a real time business intelligence solution would be beneficial for supporting the operational and tactical layers of decision-making within an organization. By implementing an RTBI solution, it would provide the decision-maker with fresh and reliant data to base the decisions on. Visualization of the current decision processes showed that by adding a real time business intelligence solution it would help eliminate the use of intuition, as there would be more data available and the decisions can be made where the work is performed.
The aim of this research is to contribute by visualizing how a real time business intelligence solution can shorten a complex decision process by giving the correct information to the right people. Organizations need to address potential challenges as part of a pre-project of a real time business intelligence implementation.
Cite This Paper
Darshan M. Tank, "Enable Better and Timelier Decision-Making Using Real-Time Business Intelligence System", International Journal of Information Engineering and Electronic Business(IJIEEB), vol.7, no.1, pp.43-48, 2015. DOI:10.5815/ijieeb.2015.01.06
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