• Journal of the Korea Society of Computer and Information
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• v.18 no.4
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• pp.97-112
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• 2013

The quality of the data is the most basic prerequisite for effective use of data. Problems and the resulting loss due to error data has emerged using case studies and a number of, to a national, quality certification system of the data has been enforced, you must manage to generate data study on the method for selecting the point of view of an organization's data CTQ is a very unsatisfactory state of affairs. Selected CTQ main data is subject to quality control in the organization, to develop criteria for CTQ data side of the business and IT so that it can be managed in a systematic manner, the proposed model, to filter the data accordingly presented in detail how to manage enterprise-wide CTQ data that can be quantified Te. By utilizing SPSS, factor analyzes, for which I used the AHP method for quantification. In particular, we present a framework of management measures along the maturity of the data in the organization due to the enforcement of authentic quality certification system of DB, utilizing the CTQ-DSMM model readily applicable to practice.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.347-359
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• 2013

The quality control of data is important element in data usage activations and decision makings. This paper is on how to extract the major critical data by each institution or organization selves. It proposes a social network analysis as a way to extract a table of high influence degree from a dynamic meta-data. The proposed CTQ data extraction method using SNA proved the fact that it is possible to extract highly accurate CTQ data by scientific measures of three-dimensional approach to real business situations without professional technicians. It is a new way that will change the goings on CTQ data management in IT sector and will improve the quality management level of an organization when applied to the real world.