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A framework for data warehouse refresh policies

delete2006-10-01
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PRE
AI
M
Michael V. Mannino *
Z
Zhiping Walter
DOI:10.1016/j.dss.2004.11.002delete
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Abstract

Abstract

En 中文
In a field study to explore influences on data warehouse refresh policies, we interviewed data warehouse administrators from 13 organizations about data warehouse details and organizational background. The dominant refresh strategy reported was daily refresh during nonbusiness hours with some deviations due to operational decision making and data source availability. As a result of the study, we developed a framework consisting of short-term and long-term influences of refresh policies along with traditional information system success variables influenced by refresh policies. The framework suggests the need for research about process design, data timeliness valuation, and optimal refresh policy design. (c) 2004 Elsevier B.V All rights reserved.
Keywords:
data warehouse
refresh process
data source
refresh policy

Journal

Decision Support Systems cover
Decision Support Systems
IF:
6.8
Papers:
3.8K
Citations:
1.5W

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