<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The Business Intelligence technology, which represents a strong tool not only for decision making support, but also has a big potential in other fields of application, is discussed in this paper. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for company management. Article is logically divided into five main parts. In the first part, there is the definition of the technology and the list of main advantages. In the second part, an overview of the system architecture with the brief description of separate building blocks is presented. Also, the hierarchical nature of the system architecture is shown. The technology life cycle consisting of four steps, which are mutually interconnected into a ring, is described in the third part. In the fourth part, analytical methods incorporated in the online analytical processing and data mining used within the business intelligence as well as the related data mining methodologies are summarised. Also, some typical applications of the above-mentioned particular methods are introduced. In the final part, a proposal of the knowledge discovery system for hierarchical process control is outlined. The focus of this paper is to provide a comprehensive view and to familiarize the reader with the Business Intelligence technology and its utilisation.</p></abstract>

The Business Intelligence technology, which represents a strong tool not only for decision making support, but also has a big potential in other fields of application, is discussed in this paper. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for company management. Article is logically divided into five main parts. In the first part, there is the definition of the technology and the list of main advantages. In the second part, an overview of the system architecture with the brief description of separate building blocks is presented. Also, the hierarchical nature of the system architecture is shown. The technology life cycle consisting of four steps, which are mutually interconnected into a ring, is described in the third part. In the fourth part, analytical methods incorporated in the online analytical processing and data mining used within the business intelligence as well as the related data mining methodologies are summarised. Also, some typical applications of the above-mentioned particular methods are introduced. In the final part, a proposal of the knowledge discovery system for hierarchical process control is outlined. The focus of this paper is to provide a comprehensive view and to familiarize the reader with the Business Intelligence technology and its utilisation.

BUSINESS INTELLIGENCE IN PROCESS CONTROL

Institute of Applied Informatics, Automation and Mathematics, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Hajdóczyho 1, 917 00 Trnava, Slovak Repulic

Research Papers Faculty of Materials Science and Technology Slovak University of Technology

{"article-title":"BUSINESS INTELLIGENCE IN PROCESS CONTROL"}

The Business Intelligence technology, which represents a strong tool not only for decision making support, but also has a big potential in other fields of...

BUSINESS INTELLIGENCE IN PROCESS CONTROL

Published Online: Jan 25, 2014

Page range: 43 - 53

DOI: https://doi.org/10.2478/rput-2013-0039

Keywords
business intelligence, system architecture, life cycle, analytical methods, data mining

This content is open access.

BUSINESS INTELLIGENCE IN PROCESS CONTROL

Published Online: Jan 25, 2014

Page range: 43 - 53

DOI: https://doi.org/10.2478/rput-2013-0039

Keywordsbusiness intelligence, system architecture, life cycle, analytical methods, data mining

This content is open access.

Keywords
business intelligence, system architecture, life cycle, analytical methods, data mining