Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
555603 | Information & Management | 2013 | 14 Pages |
Abstract
Various techniques have been proposed to enable organisations to assess the current quality level of their data. Unfortunately, organisations have many different requirements related to data quality (DQ) assessment. For example, some organisations may need to focus on ensuring regulations are met rather than reducing costs. Due to this, organisations may be forced to follow an assessment technique, which may not wholly fit their needs and current situation. Therefore, we propose and evaluate the Hybrid Approach to assessing DQ, which demonstrates how to dynamically configure an assessment technique as needed while leveraging the best practices from existing assessment techniques.
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Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Philip Woodall, Alexander Borek, Ajith Kumar Parlikad,