• Information Systems Review
• /
• v.6 no.2
• /
• pp.65-77
• /
• 2004

Business intelligence assumes an integrated and inter-connected information resources. To manage an integrated database, we need to trace data transformation processes from its outset. For this purpose, this study proposes an extended Information Structure Graph that models data transformation steps in addition to data transformation structures. Using the graph, we can identify relationship among data entities and assign data quality measures to each nodes or arcs of a graph, thus eases management of data and enhancing their quality.

• International Journal of Quality Innovation
• /
• v.9 no.3
• /
• pp.145-162
• /
• 2008

Since the General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China published the GB/T19580-2004: Criteria for Excellence Performance of China, many enterprises in China have adopted the Criteria to enhance their organization business management and to assess or self-assess organization performance. On the bases of both the Criteria for Excellence Performance of China and the survey data from China Association for Quality (CAQ), this paper systematically explores the relationships among 'leadership', 'strategy planning', 'customer and market', 'information, analysis and improvement', 'resources management', 'process management', and 'performance results' by using structural equations modeling and validates some of the anecdotal beliefs in quality management. This quantitative analysis provides a guideline for organizations in China to identify causal linkage among core value of total quality management and to identify strengths, deficiency, and opportunities to enhance competitive advantages and ensure the future business success.

• Journal of Digital Convergence
• /
• v.14 no.7
• /
• pp.309-319
• /
• 2016

There is a need to develop a data quality management algorithm in order to improve the quality of health care data. In this study, we developed a data quality control algorithms associated diseases related to diabetes in patients with hypertension. To make a data quality algorithm, we extracted hypertension patients from 2011 and 2012 discharge damage survey data. As the result of developing Data quality management algorithm, significant factors in hypertension patients with diabetes are gender, age, Glomerular disorders in diabetes mellitus, Diabetic retinopathy, Diabetic polyneuropathy, Closed [percutaneous] [needle] biopsy of kidney. Depending on the decision tree results, we defined Outlier which was probability values associated with a patient having diabetes corporal with hypertension or more than 80%, or not more than 20%, and found six groups with extreme values for diabetes accompanying hypertension patients. Thus there is a need to check the actual data contained in the Outlier(extreme value) groups to improve the quality of the data.

• Journal of Korean Society for Quality Management
• /
• v.50 no.1
• /
• pp.1-19
• /
• 2022

Purpose: The purpose of this study is to design a system for quality management and improvement of overall public services. Methods: Literature Review, Framework Design Method, Case Studies Analysis Results: Public Service Quality Management Principles, Definition of Public Services Quality Management Areas, Quality Management Guidelines, Service Quality Management Tools Conclusion: In this study, a study case of the public service quality management framework, which is a system that supports overall quality management and continuous quality improvement of public services, is presented. The management system was designed based on the existing research results and domestic and foreign cases of public service standardization, targeting the entire public service.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.12
• /
• pp.189-195
• /
• 2022

The Korean government has made it a major national task to contribute to the revitalization of the creative economy, such as creating new industries and jobs, by encouraging the private opening and utilization of public data. The Korean government is promoting public data quality improvement through activities such as conducting public data quality management level evaluation for high-quality public data retention. However, there is a difference in diagnosis results depending on the understanding and data expertise of users of the public data quality diagnosis tool. Therefore, it is difficult to ensure the accuracy of the diagnosis results. This paper proposes a public data quality management level evaluation domain rule mapping model applicable to validation diagnosis among the data quality diagnosis standards. This increases the stability and accuracy of public data quality diagnosis.

• Journal of Service Research and Studies
• /
• v.5 no.2
• /
• pp.119-132
• /
• 2015

It is a problem that the poor quality of data hinder the efficient operation and rapid decision-making in enterprises. Thus, we examined if the management class support and business environment could influence the data utilization management in this research. We also verified that relevant activity promotes data utilization for the handling of work or decision-making, thereby affecting customer orientation. The study showed that data utilization quality control is a positive factor for utilizing data for better business decision-making process. It was also confirmed that utilizing the data has indirect effect on customer orientation. Finally we suggested the practical implications to the corporate executives. Future research will be needed to find relationships between data quality management and other factors including management performance.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.2
• /
• pp.321-329
• /
• 2009

Due to the massive increase of data that should be managed, the problems in data quality management have been issued. In addition the lack of integrated management of the data causes duplication of data, low qualify services, and, missing data. To overcome these problems, this study attempts to examine the way of the data qualify management. To do this, metadata was defined, and its current management status in various view points was analyzed, and finally the metadata management was applied to the container terminal. for the "A" container terminal, we performed data standardization, and reflected major constraints and developed the pilot metadata repository. The contributions of this study are in improvement of the data qualify in the container terminal, and its practical application with metadata management method. Limitations of this study is its partial implementation of the metadata management to the company and interoperability of the metadata management for business to business data integration for the future research.

• Proceedings of the KSRS Conference
• /
• 1999.11a
• /
• pp.63-69
• /
• 1999

The purpose of this study is to develop Water Quality Management System(WQMS), which performs calculating pollutant discharge and forecasting water quality with water pollution model. Operational water quality management requires not only controlling pollutants but acquiring and managing exact information. A GIS software, ArcView was used to enter or edit geographic data and attribute data, and MapObject was used to customize the user interface. PCI, a remote sensing software, was used for deriving land cover classification from 20 m resolution SPOT data by image processing. WQMS has two subsystems, Database Subsystem and Modelling subsystem. Database subsystem consisted of watershed data from digital map, remote sensing data, government reports, census data and so on. Modelling subsystem consisted of NSPLM(NonStorm Pollutant Load Model)-SPLM(Storm Pollutant Load Model). It calculates the amount of pollutant and predicts water quality. This two subsystem was connected through graphic display module. This system has been calibrated and verified by applying to Mokhyun stream watershed.

• Journal of Korea Spatial Information System Society
• /
• v.10 no.4
• /
• pp.89-95
• /
• 2008

In this paper, we propose an integrated techniques for managing data quality in traffic data warehousing environments. We describe how to collect and construct the traffic data warehouses from the operational databases, such as FTMS and ARTIS. We explain how to configure the traffic data warehouses efficiently. Also, we propose a quality management techniques to provide high quality traffic data for various analytical transactions. Proposed techniques can contribute in providing high quality traffic data to the traffic related users and researcher, thus reducing data preprocessing and evaluation cost.

• Journal of Korean Society for Quality Management
• /
• v.22 no.3
• /
• pp.152-160
• /
• 1994

This paper concerns an expert system for reliability management. The system includes data base, life data analysis, life testing sampling plans and system operation. PROLOG is used as a language with dBASE III+ for the data base management system and C for calculations and graphics. This system analyzing the data and selecting an appropriate sampling plan can be implemented on an IBM PC 386 or a higher level machine.