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Measurement of data warehouse quality

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dc.contributor.advisor Dr. Vatcharapron Esichiakul (Chairperson) en_US
dc.contributor.advisor Professor Vilas Wuwongse (Member) en_US
dc.contributor.advisor Dr. Voratus Kachitvichyanukul (Member) en_US
dc.contributor.author Monnapa Lertsathitphong en_US
dc.date.accessioned 2015-01-12T10:44:21Z
dc.date.available 2015-01-12T10:44:21Z
dc.date.issued 2000 en_US
dc.identifier.other AIT Thesis no.IM0013 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/500
dc.description 128 p. en_US
dc.description.abstract This study emphasizes on developing the data warehouse quality model, which can be used in measuring the quality of the data warehouse system. The model composed of four components, which are data warehouse process, data warehouse measurable object, stakeholder, and quality dimension. Each component has a relationship with the other. In the quality measurement process, a stakeholder is the person who evaluates the quality of each data warehouse measurable object by using the quality dimensions as the criteria. Different stakeholders have different viewpoints of data warehouse quality because they have different job responsibilities. Questionnaire survey and interview are conducted to obtain information about the data warehouse measurable objects that each group of stakeholders involved in the data warehouse system and the quality aspects stakeholders concerned in evaluating the quality of each data warehouse measurable object. Moreover, the general guidelines for measuring the quality of data warehouse quality are described. en_US
dc.description.sponsorship Asian Institute of Technology Partial Scholarship en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject Data warehouse system en_US
dc.subject Measurement en_US
dc.title Measurement of data warehouse quality en_US
dc.type Thesis en_US


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