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

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Date of publication of this fulltext: 28 Mar 2012 15:01

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Item type:	Conference or workshop item (Paper)
Title of Book:	Proceedings of the 12th International Conference on Information Quality (ICIQ). University of Cambridge
Date:	2007
Institutions:	Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich) Informatics and Data Science > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich) Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Alumni or Retired Professors > Professur für Wirtschaftsinformatik - Qualitätsmanagement und Qualitätssicherung (Prof. Dr. Mathias Klier)
Keywords:	Data Quality (DQ), Metric, Timeliness, Customer Relationship Management (CRM)
Dewey Decimal Classification:	300 Social sciences > 330 Economics
Status:	Published
Refereed:	Unknown
Created at the University of Regensburg:	Unknown
Item ID:	23632

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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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