Identifying and Prioritizing Information Quality Dimensions for Assurance in the Pre- Processing Stage of Data Storage for Business Intelligence
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Date
2011-07-06
Authors
Angel, Hope
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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].
Keywords
Data mining, Business intelligence, Information quality, Information quality assurance, Competitive advantage, Knowledge discovery, Data analytics, Data warehousing, Applied Information Management, AIM, Data