Identifying and Prioritizing Information Quality Dimensions for Assurance in the Pre- Processing Stage of Data Storage for Business Intelligence

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Title: Identifying and Prioritizing Information Quality Dimensions for Assurance in the Pre- Processing Stage of Data Storage for Business Intelligence
Author: Angel, Hope
Abstract: As business intelligence systems increase the amount of information stored in data warehouses, quality of content becomes more critical (Fisher, Lauria, Chengalur-Smith, & Wang, 2008). Selected literature published between 2001 and 2011 is analyzed to define key dimensions of information quality for consideration in the pre-processing stage, before data reach the warehouse, to ensure maximum quality assurance. The goal is to provide a framework to prioritize dimensions that align with business intelligence goals and objectives.
Description: This paper was completed as part of the final research component in the University of Oregon Applied Information Management Master's Degree Program [see htpp://aim.uoregon.edu].
URI: http://hdl.handle.net/1794/11384
Date: 2011-07-06


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