RMIT University
Browse

From data to decisions: Knowledge discovery solutions for intelligent enterprises

chapter
posted on 2024-10-30, 16:40 authored by Nilmini Wickramasinghe, Sushil Sharma, Jatinder Gupta
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 capita/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 discove1y 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 discove1y is then a competitive necessity for today's organizations. This chapter describes various knowledge discove1y tools and technologies that can help to create intelligent enterprises.

History

Start page

234

End page

244

Total pages

11

Outlet

Intelligent Enterprises of the 21st Century

Editors

J. Gupta & S. Sharma

Publisher

IGI Global

Place published

Hershey, United States

Language

English

Copyright

© 2004 Idea Group

Former Identifier

2006023614

Esploro creation date

2020-06-22

Fedora creation date

2013-07-17

Usage metrics

    Scholarly Works

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC