A measurement model for factors influencing data quality in data warehouse

N. Zellal, A. Zaouia
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引用次数: 4

Abstract

The quality of data in data warehouse is very important for decision making. That's why we have been interested in studying the factors that influence this data quality. The first influencing factor is the quality of data at the source, and there are many other factors moderating this influence between data quality at the source and data quality at the data warehouse. This is what we have tried to gather in a research model in a previous work [1]. In order to validate this research model, we would like to conduct a survey and analyze the results using Structural Equation Modeling. And to prepare the survey, it is necessary to figure out the measured variables for each latent variable in the research model. So we aim, in this paper, to propose measurement items for each construct refereeing to the previous works and adapting them to our context.
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数据仓库中影响数据质量因素的度量模型
数据仓库中的数据质量对决策非常重要。这就是为什么我们对研究影响数据质量的因素很感兴趣。第一个影响因素是源数据的质量,还有许多其他因素缓和源数据质量和数据仓库数据质量之间的影响。这是我们在之前的工作[1]中试图收集的研究模型。为了验证这一研究模型,我们将使用结构方程模型进行调查和分析结果。为了准备调查,有必要为研究模型中的每个潜在变量找出测量变量。因此,我们的目标是,在本文中,为每个结构提出测量项目,参考以前的工作,并使它们适应我们的背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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