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Title: From data to decisions: knowledge discovery solutions for intelligent enterprises. Intelligent enterprises of the 21st century.
Authors: Wickramasinghe, Nilmini
Editors: Gupta, Jatinder N. D.
Sharma, Sushil K.
Other Authors: Gupta, Jatinder N. D.
Sharma, Sushil K.
Keywords: Knowledge Assets
Intellectual Capital
Business Intelligence
Analyzing Data Patterns
Knowledge Discovery
Core Business Processes
Knowledge Discovery Tools
Knowledge Discovery Technologies
Intelligent Enterprises
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2004
Publisher: Hershey, PA: Idea Group Publishing
Abstract: To compete in today’s environment, organizations have to develop an ability to use intelligently the knowledge assets already inherent within them as well as the new intellectual capital they create daily. Many companies have already adopted some type of business intelligence (BI) tools such as report writers, spreadsheets, and, more recently, OLAP to gain a competitive advantage in decision making. However, these tools are woefully inadequate at analyzing data patterns. Thus, superior tools and methods are required. Knowledge discovery is about understanding a business. It is a process that solves business problems by analyzing the data to identify patterns and relationships that can explain and predict behavior. It enables an organization to better understand its core business processes by searching automatically through voluminous data, looking for patterns of events, and presenting these to the business in an easy-to-understand graphical form. Knowledge discovery is then a competitive necessity for today’s organizations. This chapter describes various knowledge discovery tools and technologies that can help to create intelligent entereprises.
DOI: 10.4018/978-1-59140-160-5.ch014.
ISBN: 9781591401605
Type: Chapter
Affiliated Organisations: Health Informatics
Cleveland State University, USA
Ball State University, USA
University of Alabama in Huntsville, USA
Appears in Collections:Health Informatics

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