Improving the Data Warehouse with Selected Data Quality Techniques: Metadata Management, Data Cleansing and Information Stewardship

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dc.contributor.authorEvans, Brian
dc.date.accessioned2008-11-13T23:13:15Z
dc.date.available2008-11-13T23:13:15Z
dc.date.issued2008-11-13T23:13:15Z
dc.descriptionThis paper was completed as part of the final research component in the University of Oregon Applied Information Management Master's Degree Program [see htpp://aim.uoregon.edu].en
dc.description.abstractThe corporate data warehouse provides strategic information to support decision-making (Kimball, et al., 1998). High quality data may be the most important factor for data warehouse success (Loshin, 2003). This study examines three data management techniques that improve data quality: metadata management, data cleansing, and information stewardship. Content analysis of 14 references, published between 1992 and 2004, results in lists of themes, synonyms, and definitions for each technique, designed for data warehouse analysts and developers.en
dc.identifier.urihttps://hdl.handle.net/1794/7814
dc.relation.ispartofseriesAim Capstone 2005;Brian Evans
dc.subjectDataen
dc.subjectMetadata managementen
dc.subjectData cleansingen
dc.subjectInformation stewardshipen
dc.subjectAIMen
dc.subjectData managementen
dc.subjectData warehousingen
dc.subjectApplied Information Managementen
dc.titleImproving the Data Warehouse with Selected Data Quality Techniques: Metadata Management, Data Cleansing and Information Stewardshipen
dc.typeOtheren

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