Date of Award

2015

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Kateeb, Dr. Ibraheem

Abstract

Business Intelligence systems play a critical role in the business development process. They help make critical decisions based on meaningful information culled from a huge, complicated database system. Business intelligence also plays a key role in business growth and profitability by capturing real-time information and data pieces for market forecasting. As electronics media advance, companies are looking for the best data integration processes to integrate important information through electronic and computer devices to their business intelligence systems. The real challenge that organizations are facing is how to get real information in real time. In the past, organizations have adopted different solutions to integrate data into their business intelligence tools. Therefore, in terms of data and information integration, business intelligence has made significant improvements within the past three decades to meet ad hoc requirements of business intelligence users. Over the past two decades, there has been great progress in consuming and automating data in business intelligence, and there are trends and influences that are true inflection points in the industry. Periodically, trends in the industry have significantly changed important aspects of business intelligence applications: what they do, how they do it, or how they are used, either individually or collectively. This thesis discusses the evolution of business intelligence throughout different periods of time, and future trends in business intelligence.

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