Enhancing data quality in data warehouse environments
Communications of the ACM
Improving data warehouse and business information quality: methods for reducing costs and increasing profits
Communications of the ACM - Supporting community and building social capital
Data Quality for the Information Age
Data Quality for the Information Age
A Framework for Analysis of Data Quality Research
IEEE Transactions on Knowledge and Data Engineering
AIMQ: a methodology for information quality assessment
Information and Management
Managing Information Quality
The Impact of Experience and Time on the Use of Data Quality Information in Decision Making
Information Systems Research
Data representation factors and dimensions from the quality function deployment (QFD) perspective
Journal of Information Science
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Utility-driven assessment of data quality
ACM SIGMIS Database
Time-Related Factors of Data Quality in Multichannel Information Systems
Journal of Management Information Systems
Journal of Management Information Systems
Journal of Information Science
A Procedure to Develop Metrics for Currency and its Application in CRM
Journal of Data and Information Quality (JDIQ)
A Framework for Reconciling Attribute Values from Multiple Data Sources
Management Science
A multidimensional analysis of data quality for credit risk management: New insights and challenges
Information and Management
Assessment of data quality in accounting data with association rules
Expert Systems with Applications: An International Journal
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The growing relevance of data quality has revealed the need for adequate measurement. As time aspects are extremely important in data quality management, we propose a novel approach to assess data currency. Our metric, which is founded on probability theory, enables an objective and widely automated assessment for data liable to temporal decline. Its values are easy to interpret by business users. Moreover, the metric makes it possible to analyse the economic impacts of data quality measures like data cleansing and can therefore build a basis for an economic management of data quality. The approach can be applied in various fields of application where the currency of data is important. To illustrate the practical benefit and the applicability of the novel metric, we provide an extensive real world example. In cooperation with a major German mobile services provider, the approach was successfully applied in campaign management and led to an improved decision support.