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http://dx.doi.org/10.9708/jksci.2013.18.9.101

An Empirical Study on Quality Improvement by Data Standardization for Distributed Goods  

Song, Jang-Seop (Dept. of Computer Science, Soongsil University)
Rhew, Sung-Yul (Dept. of Computer Science, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.9, 2013 , pp. 101-109 More about this Journal
Abstract
Data quality management is extremely important. In this study, we proposed data standardization for effective quality management of enterprise-owned data about distributed goods and validated its effectiveness by case study. For the standardization of data, we designed data category and data dictionary. Additionally, we categorized data and identified its attributes for data category design, and we developed design process for data dictionary and built the dictionary of word, term, domain and code for data dictionary design. And then we proposed output documents which have to be written for data standardization. Proposed data standardization approach is validated its efficiency by quantitative and qualitative measurement. and as a result the data quality of the data standardization improved 24% and the data quality of the consistency of the data dictionary improved 7%.
Keywords
Goods; Data Quality; Data Standardization; Data Dictionary; Master Data;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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