Data‐driven decision making for the enterprise: an overview of business intelligence applications

Darius Hedgebeth (Volgenau School of Information Technology and Engineering, George Mason Universtiy, Fairfax, Virginia, USA)

VINE

ISSN: 0305-5728

Publication date: 30 October 2007

Abstract

Purpose

The purpose of this paper is to inform the knowledge worker about Business Intelligence (BI) – its origins, value in decision‐making processes, and currently available BI applications.

Design/methodology/approach

The paper discusses the evolution of decision support systems (DSS) and their close relationship with the business intelligence arena. Open source and commercial BI products are also identified.

Findings

The data that are accessed by BI applications must be accurate if managers of knowledge enterprises are to make informed decisions. Effective partnerships for business and information entities should be observed when BI tools are introduced to an enterprise. Buy‐in from top management is absolutely necessary for the successful implementation of BI tools.

Originality/value

The use of BI applications aids a knowledge enterprise by promoting efficiency within an organization, particularly by using analytical methods to provide valuable decision‐making knowledge to minimize operating costs and to accurately forecast market trends.

Keywords

Citation

Hedgebeth, D. (2007), "Data‐driven decision making for the enterprise: an overview of business intelligence applications", VINE, Vol. 37 No. 4, pp. 414-420. https://doi.org/10.1108/03055720710838498

Download as .RIS

Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.