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

doi:10.4018/jdm.2003100102

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

Ganesan Shankaranarayan, Mostafa Ziad, Richard Y. Wang

Source Title: Journal of Database Management (JDM)14(4)

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MLA

Shankaranarayan, Ganesan, et al. "Managing Data Quality in Dynamic Decision Environments: An Information Product Approach." JDM vol.14, no.4 2003: pp.14-32. http://doi.org/10.4018/jdm.2003100102

APA

Shankaranarayan, G., Ziad, M., & Wang, R. Y. (2003). Managing Data Quality in Dynamic Decision Environments: An Information Product Approach. Journal of Database Management (JDM), 14(4), 14-32. http://doi.org/10.4018/jdm.2003100102

Chicago

Shankaranarayan, Ganesan, Mostafa Ziad, and Richard Y. Wang. "Managing Data Quality in Dynamic Decision Environments: An Information Product Approach," Journal of Database Management (JDM) 14, no.4: 14-32. http://doi.org/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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Managing Data Quality in Dynamic Decision Environments: An Information Product Approach

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