Managing Data Quality in Dynamic Decision Environments: An Information Product Approach

Managing Data Quality in Dynamic Decision Environments: An Information Product Approach

Ganesan Shankaranarayan (Boston University, USA), Mostafa Ziad (Suffolk University, USA) and Richard Y. Wang (Massachusetts Institute of Technology, USA)
Copyright: © 2003 |Pages: 19
DOI: 10.4018/jdm.2003100102
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Abstract

Large data volumes, widely distributed data sources, and multiple stakeholders characterize typical e-business settings. Mobile and wireless technologies have further increased data volumes, further distributed the data sources, while permitting access to data anywhere, anytime. Such environments empower and necessitate decision-makers to act/react quicker to all decision-tasks including mission-critical ones. Decision-support in such environments demands efficient data quality management. This paper presents a framework for managing data quality in such environments using the information product approach. It includes a modeling technique to explicitly represent the manufacture of an information product, quality dimensions and methods to compute data quality of the product at any stage in the manufacture, and a set of capabilities to comprehensively manage data quality and implement total data quality management. The paper also posits the notion of a virtual business environment to support dynamic decision-making and describes the role of the data quality framework in this environment.

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