In Data Warehouse systems, Data Quality has an important role since quality of data is compromised throughout the Data Warehouse lifecycle. Data Quality is context-dependent and this fact should be considered in its management. This work is a step ...
Commonly, DW development methodologies, paying little attention to the problem of data quality and completeness. One of the common mistakes made during the planning of a data warehousing project is to assume that data quality will be addressed during ...
High-quality data is a necessity for successful research and development endeavors. In this article, we review relevant literature for data quality (DQ) assessment methods in different domains and discuss the possibilities, challenges and constraints of ...
Association for Computing Machinery
New York, NY, United States
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