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.
ghafari,M. , azar,A. and Shabbak,A. (2018). Causal Mapping in Managing Statistical Outputs with Data Quality Approach. Iranian Journal of Information Processing and Management, 33(3), 1041-1064. doi: 10.35050/JIPM010.2018.040
MLA
ghafari,M. , , azar,A. , and Shabbak,A. . "Causal Mapping in Managing Statistical Outputs with Data Quality Approach", Iranian Journal of Information Processing and Management, 33, 3, 2018, 1041-1064. doi: 10.35050/JIPM010.2018.040
HARVARD
ghafari M., azar A., Shabbak A. (2018). 'Causal Mapping in Managing Statistical Outputs with Data Quality Approach', Iranian Journal of Information Processing and Management, 33(3), pp. 1041-1064. doi: 10.35050/JIPM010.2018.040
CHICAGO
M. ghafari, A. azar and A. Shabbak, "Causal Mapping in Managing Statistical Outputs with Data Quality Approach," Iranian Journal of Information Processing and Management, 33 3 (2018): 1041-1064, doi: 10.35050/JIPM010.2018.040
VANCOUVER
ghafari M., azar A., Shabbak A. Causal Mapping in Managing Statistical Outputs with Data Quality Approach. Iranian Journal of Information Processing and Management, 2018; 33(3): 1041-1064. doi: 10.35050/JIPM010.2018.040
