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DQ Metrics: A Novel Approach to Quantify Timeliness and its Application in CRM

URN to cite this document:
urn:nbn:de:bvb:355-epub-236324
Heinrich, Bernd ; Kaiser, Marcus ; Klier, Mathias Robbert, M. A. ; O'Hare, R. ; Markus, M. L. ; Klein, B. , eds.
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Date of publication of this fulltext: 28 Mar 2012 15:01


Abstract

The importance of customer relationship management (CRM) has increased during the last decade. Thus information systems and particularly the quality of customer data are highly relevant for conducting CRM efficiently. Due to the importance of using up-to-date data, this paper analyzes how the data quality dimension timeliness can be quantified. Based on several requirements (e.g. normalization ...

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