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Due to the importance of using up-to-date data in information systems, this article analyzes how the data-quality dimension currency can be quantified. Based on several requirements (e.g., normalization and interpretability) and a literature review, we design a procedure to develop probability-based metrics for currency which can be adjusted to the specific characteristics of data attribute values. We evaluate the presented procedure with regard to the requirements and illustrate the applicability as well as its practical benefit. In cooperation with a major German mobile services provider, the procedure was applied in the field of campaign management in order to improve both success rates and profits.
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Heinrich et al. (2009) studied this question.
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