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Business information – a natural path to business intelligence: knowing what to capture

Annie Green (George Washington University, Washington, DC, USA)

VINE

ISSN: 0305-5728

Article publication date: 17 April 2007

3652

Abstract

Purpose

The purpose of this paper is to propose a logical approach to identifying and modeling business intelligence from corporate information.

Design/methodology/approach

The methodology or approach to identifying business intelligence is based on the cross‐pollination of eight business value drivers. Modeling business intelligence from the hybrid blends of value sources provides a view of business intelligence in more realist dimensions.

Findings

Modeling business intelligence from the hybrid blends of value sources provides a view of business intelligence in more realist dimensions.

Originality/value

Business enterprises are challenged with identifying the primitive components that construct business intelligence within the business. The conceptual model presented in this paper decomposes to the primitive level of information or meta‐data needed to model business intelligence. The primitive level defines the business objects and provides a map to defining the actual business information to capture.

Keywords

Citation

Green, A. (2007), "Business information – a natural path to business intelligence: knowing what to capture", VINE, Vol. 37 No. 1, pp. 18-23. https://doi.org/10.1108/03055720710741981

Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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