Optimal update policies for distributed materialized views
Management Science
A product perspective on total data quality management
Communications of the ACM
Estimating and improving the quality of information in a MIS
Communications of the ACM
Communications of the ACM - Supporting community and building social capital
Data Quality for the Information Age
Data Quality for the Information Age
The Impact of Data Quality Information on Decision Making: An Exploratory Analysis
IEEE Transactions on Knowledge and Data Engineering
Modeling Completeness versus Consistency Tradeoffs in Information Decision Contexts
IEEE Transactions on Knowledge and Data Engineering
The Impact of Experience and Time on the Use of Data Quality Information in Decision Making
Information Systems Research
Information and Management
A framework for data warehouse refresh policies
Decision Support Systems
Supporting data quality management in decision-making
Decision Support Systems
Utility-driven assessment of data quality
ACM SIGMIS Database
Optimal Synchronization Policies for Data Warehouses
INFORMS Journal on Computing
Economics-Driven Data Management: An Application to the Design of Tabular Data Sets
IEEE Transactions on Knowledge and Data Engineering
Quality of data model for supporting mobile decision making
Decision Support Systems
Private Markets for Public Goods: Pricing Strategies of Online Database Vendors
Journal of Management Information Systems
Brokering infrastructure for minimum cost data procurement based on quality-quantity models
Decision Support Systems
A Procedure to Develop Metrics for Currency and its Application in CRM
Journal of Data and Information Quality (JDIQ)
Overview and Framework for Data and Information Quality Research
Journal of Data and Information Quality (JDIQ)
Data quality assessment in context: A cognitive perspective
Decision Support Systems
Assessing the quality of large-scale data standards: A case of XBRL GAAP Taxonomy
Decision Support Systems
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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 demonstrate this argument by evaluating a microeconomic model that links the handling of data quality defects, such as outdated data and missing values, to economic outcomes: utility, cost, and net-benefit. The evaluation is set in the context of Customer Relationship Management (CRM) and uses large samples from a real-world data resource used for managing alumni relations. Within this context, our evaluation shows that all model parameters can be measured, and that all model-related assumptions are, largely, well supported. The evaluation confirms the assumption that the optimal quality level, in terms of maximizing net-benefits, is not necessarily the highest possible. Further, the evaluation process contributes some important insights for revising current data acquisition and maintenance policies.