Earticle

초록

영어

The competence of enterprise for managing information is evaluated not by the amount of information but by the quality of information such as response time, data consistency, and data correctness. The degradation of data quality is usually caused by the inappropriate process of managing the structure and value of stored data. According to the recent survey on the actual condition of data quality management, the correctness and consistency of data appeared to be the most problematic area among the six criteria of data quality management such as correctness, consistency, availability, timeliness, accessibility, and security. Moreover, the problem was more serious in case of small and medium-sized companies than large enterprises. In this paper, therefore, we attempt to propose a new data quality control methodology for small and medium-sized companies that can improve the correctness and consistency of data without consuming too much time and cost. To adopt the proposed methodology to real application immediately, we provided some scripts for as-is analysis and devised automation tools for managing naming rules of vocabulary, terminology, and data code. Additionally, we performed case study on the distribution service of a small-sized company to estimate the applicability of our tool and methodology.

목차

Abstract
 1. 서론
 2. 관련연구 및 이론적 배경
  2.1 데이터 품질관리
  2.2 데이터 표준관리
  2.3 소크럼 개발 프로세스
 3. 사례연구
  3.1 애자일 표준관리 방법론
  3.2 사례 기업 및 사례 시스템 개요
  3.3 현황 분석
  3.4 표준화 원칙 및 접근 방법
  3.5 표준화
  3.6 이행 및 운영관리
  3.7 분석 결과
  3.8 표준화 이행 과정의 한계
 4. 결론
 참고문헌
 부록 : 참고스크립트

키워드

저자

• 김태윤 [ Tai-yun Kim | 국민대학교 비즈니스IT전문대학원 석사과정 ]
• 김남규 [ Namgyu Kim | 국민대학교 경영정보학부 조교수 ] 교신저자
• 손용락 [ Yonglak Sohn | 서경대학교 컴뮤터공학과 부교수 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005