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a r t i c l e i n f o In organizations today, the risk of poor information quality is becoming increasingly high as larger and more complex information resources are being collected and managed. To mitigate this risk, decision makers assess the quality of the information provided by their IS systems in order to make effective decisions based on it. To do(More)
Quantitative assessment of data quality is critical for identifying the presence of data defects and the extent of the damage due to these defects. Quantitative assessment can help define realistic quality improvement targets, track progress, evaluate the impacts of different solutions, and prioritize improvement efforts accordingly. This study describes a(More)
a r t i c l e i n f o Keywords: Data quality Utility Cost–benefit analysis Data warehouse CRM Managing data resources at high quality is usually viewed as axiomatic. However, we suggest that, since the process of improving data quality should attempt to maximize economic benefits as well, high data quality is not necessarily economically-optimal. We(More)
Organizational data repositories are recognized as critical resources for supporting a large variety of decision tasks and for enhancing business capabilities. As investments in data resources increase, there is also a growing concern about the economic aspects of data resources. While the technical aspects of data management are well examined, the(More)