摘要
資料的品質將會影響人們對企業的看法(Aspectof your business)，顧客資料的整合(Customer data integration)過程與結果，資料倉儲(Data warehouse)的應用性，商業智慧(Business intelligence)開發，以及企業的品牌(Enterprise application)。而經由資訊系統所呈現的資料，無論是數字型態或文字型態，為滿足使用者的需求並將資料做有效的應用，一切的根源均在於資料的品質(data quality)。本文針對資料品質的評估方式、管理架構與評估要素提出說明，並且，綜合各家要點建構一資料品質評值量表，進行專家校正且可提供讀者參用。
並列摘要
While the quality of data affects every aspect of business, it is frequently overlooked in terms of customer data integration, data warehousing, business intelligence and enterprise applications. Regardless of which data terms are used, a high level of data quality is a critical base condition essential to satisfy user needs and facilitate the development of effective applications. In this paper, the author introduces methods, a management framework and the major factors involved in data quality assessment. Author also integrates expert opinions to develop data quality assessment tools.