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dc.contributor.authorThion-Goasdoué, Virginie
HAL ID: 3516
dc.contributor.authorNugier, Sylvaine
dc.contributor.authorDuquennoy, Dominique
dc.contributor.authorLaboisse, Brigitte
dc.date.accessioned2010-09-13T13:26:52Z
dc.date.available2010-09-13T13:26:52Z
dc.date.issued2007
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/4763
dc.language.isoenen
dc.subjectCompletenessen
dc.subjectAccuracyen
dc.subjectConsistencyen
dc.subjectRelevancyen
dc.subjectAddress normalisationen
dc.subjectOn-line interfaceen
dc.subjectIntegrationen
dc.subjectDeduplicationen
dc.subjectConnectivityen
dc.subjectCriteriaen
dc.subjectDQMen
dc.subjectInformation Producten
dc.subjectData Qualityen
dc.subjectFrameworken
dc.subject.ddc005en
dc.titleAn Evaluation Framework for Data Quality Toolsen
dc.typeCommunication / Conférence
dc.description.abstractenData Quality is a major stake for large organizations and software companies are proposing increasing numbers of tools focusing on these issues. The scope of these tools is moving from specific applications (deduplication, address normalization etc …) to a more global perspective integrating all areas of data quality (profiling, rule-detection…). A framework is needed to help managers to choose this type of tool. In this article, we focus on tool-functionalities which aim to measure the quality of data(bases). We explain what one can expect of such functionalities in a CRM context, and we propose a general matrix which can be used for the evaluation and comparison of these tools.en
dc.identifier.citationpages15en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.conftitle2007 International Conference for Information Quality (ICIQ)en
dc.relation.confdate2007-11
dc.relation.confcityCambridge (MA)en
dc.relation.confcountryÉtats-Unisen


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