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An Exploratory Study Investigating Data Qualityin the Healthcare Industry:What are the Implications for Data Warehousing?

机译:调查医疗行业数据质量的探索性研究:数据仓库的含义是什么?

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摘要

Maintaining quality data and information challengesrntoday’s organizations, and is essential to good decisionmakingrnand competitive advantage. The purpose of thisrnstudy is to understand the dimensions of data quality and tornlearn how managers perceive them. The 20 dimensions ofrndata quality posited by Wang and Strong were used in thisrnstudy. The relative importance of those dimensions byrnhealthcare industry managers was assessed.rnStudy findings indicate that all 20 of Wang and Strong’srndata quality descriptive dimensions are important to thernhealthcare industry. Additionally, data from thisrnexploratory research seems to suggest that there may not berna “one size fits all” model for data quality.
机译:维持高质量的数据和信息对当今的组织构成挑战,这对于良好的决策制定和竞争优势至关重要。本研究的目的是了解数据质量的维度,并了解管理人员如何看待它们。本研究使用了Wang和Strong提出的20个维度的数据质量。研究结果表明,Wang和Strong的所有20个数据质量描述维度对于医疗保健行业都很重要。此外,来自该探索性研究的数据似乎表明,可能没有berna“一刀切”的数据质量模型。

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