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:: Volume 33, Issue 3 (Spring 2018) ::
2018, 33(3): 1053-1076 Back to browse issues page
Causal mapping in Managing Statistical Outputs with data quality approach
Masood Ghafari , Adel Azar
Professor Tarbiat Modarres University, Tehran, Iran
Abstract:   (1489 Views)
Attribute data quality is important object for each databases. If data quality doesn’t useful, Decisions of organizations will not effective. Quality assurance is the new problem in the quality management. This approach flow to data quality management. Maybe many data are collected but they aren’t have accuracy elemnt. The propose of this paper is recognition data quality concept and dimensions data quality. Managing statistical outputs is one the important dimensions data quality that has seven elements. In this research are explaining the impact them. The method of this paper is DEMATEl. It is one the approach soft operation research. The results of article are shown that assuring accuracy, assuring accuracy and completeness have effect intensity. They are important elements and managers should notice to them.
Keywords: data quality, data quality management, Managing Statistical Outputs, Causal mapping, DEMATEl.
Full-Text [PDF 829 kb]   (405 Downloads)    
Type of Study: Research | Subject: Information Technology
Received: 2017/04/8 | Accepted: 2017/06/24 | Published: 2017/09/19
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ghafari M, azar A. Causal mapping in Managing Statistical Outputs with data quality approach. Journal of Information Processing and Management. 2018; 33 (3) :1053-1076
URL: http://jipm.irandoc.ac.ir/article-1-3567-en.html

Volume 33, Issue 3 (Spring 2018) Back to browse issues page
پژوهشنامه پردازش و مدیریت اطلاعات Journal of Information processing and Management
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