Theory and support for process frameworks of knowledge discovery and data mining from ERP systems

Authors:
Elliot Bendoly
Affiliations:
Decision and Information Analysis, Room 411, 1300 Clifton Road, Goizueta Business School, Emory University, Atlanta, GA
Venue:
Information and Management
Year:
2003

Citing 13
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Abstract

Existing theory has framed the process of information extraction and agglomeration, also referred to as the knowledge discovery (KD) process, as a series of strategic search decisions, subject to constraints, with the objective ot attaining a sufficient level of domain-specific knowledge for use in strategic planning. Supported by the experiences of firms representative of Client, Developer, and Third-party segments of the data mining (DM) community, this work provides an extension to this basic framework. The implications provided suggest a wealth of untapped opportunities in the area of KD research.