![various business intelligence applications various business intelligence applications](https://www.thekeepitsimple.com/wp-content/uploads/2021/06/What-are-Business-Intelligence-Benefits-640x394.jpg)
Consequently, Nemrava, Ralbovsky, Kliegr, Splichal, Svatek, and Vejlupek (2008) describe business clusters as geographic concentrations of interconnected businesses, suppliers, and any other companies in an associated field. 47Ĭompetitive Intelligence It is important to understand that Competitive Intelligence (CI) is a term sometimes used as a synonym for business intelligence however, CI is more accurately a sub-discipline of BI widely used for larger business clusters, focusing on textual reports prepared from public resources to help decision makers understand competitive environments. We explore several contemporary studies related to the future of BI and surrounding fields. The general goal of this paper is briefly and broadly to explore the BI technology, applications and trends while provides stimulating and innovate theories and practices. discuss new massively parallel data architectures and analytic tools, which are superior to traditional parallel SQL data warehouses and OLAP engines, and the need to shorten lag between data acquisition and decision making. The article addresses the insights of reduced cost of data acquisition and storage as well as the resulting increased use by businesses acquiring large volumes of data to promote competitive advantages. The typical BI architecture is outlined as data moves through data sources, streaming engines, data warehouse servers, mid-tier servers, and front end applications. The specific technologies addressed include extract transform load tools, complex event processing engines, relational database management systems, map-reduced paradigms, online analytic processing servers, reporting servers, enterprise search engines, data mining, and text analytic engines. A broader definition of BI is presented by Evelson (2008): “ is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information.” Evalson builds on this, “ allows business users to make informed business decisions with real-time data that can put a company ahead of its competitors.” In a recent article, Chaudhuri, Umeshwar, and Narasayya (2011) provided a broad overview of current BI technologies, and the manner in which they interact. Additionally, as enterprises grow, there is an overwhelming need to analyze historical business data in order to predict future trends and improve business forecasting. This information supports business operations, ultimately providing long-term stability for the firm (Rud, 2009). BI transforms the raw, massive data collected by various sources into useful information. Enterprises are turning to Business Intelligence (BI) theories and technologies in order to extract the maximum amount of information from this data in order to allow their employees to make better data-driven business decisions. Introduction Data is growing at a rapid rate. Business Intelligence, Competitive Intelligence, Data Warehousing, Data Mining, Cloud Computing, Data Exploration and Visualization
![various business intelligence applications various business intelligence applications](https://www.passionned.com/wp/wp-content/uploads/bi-applications.png)
![various business intelligence applications various business intelligence applications](https://smartereum.com/wp-content/uploads/2019/05/Business-Intelligence-Tools-696x348.png)
![various business intelligence applications various business intelligence applications](https://allaboutintelligence.files.wordpress.com/2020/10/business-intelligence.gif)
The authors also explore several contemporary studies related to the future of BI and surrounding fields. This paper briefly and broadly explores the business intelligence technology, applications and trends while provides a few stimulating and innovate theories and practices. BI allows massive diverse data collected from virus sources to be transformed into useful information, allowing more effective and efficient production.
#VARIOUS BUSINESS INTELLIGENCE APPLICATIONS SOFTWARE#
Sarah North Computer Science Department College of Computing and Software Engineering Kennesaw State University, Kennesaw, GA 30144, USA Enterprises are considering substantial investment in Business Intelligence (BI) theories and technologies to maintain their competitive advantages. Business Intelligence Technology, Applications, and Trends Muhammad Obeidat, Max North, Ronny Richardson, and Vebol Rattanak Management and Entrepreneurship Department Information Systems Department Coles College of Business Kennesaw State University, Kennesaw, GA 30144, USA