A Measurement Model for Factors Influencing Data Quality in Data Warehouse

被引:0
|
作者
Zellal, Nouha [1 ]
Zaouia, Abdellah [1 ]
机构
[1] INPT Natl Inst Posts & Telecommun, Rabat, Morocco
来源
2016 4TH IEEE INTERNATIONAL COLLOQUIUM ON INFORMATION SCIENCE AND TECHNOLOGY (CIST) | 2016年
关键词
Data Quality; Data Warehouse; Business Intelligence; Measurement model; SUCCESS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:46 / 51
页数:6
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