企业数据质量管理的成熟度模型

Martin Ofner, B. Otto, H. Österle
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引用次数: 20

摘要

企业需要高质量的数据来满足许多战略业务需求。数据质量的永久维护和可持续改进只能通过企业范围的方法来实现。本文提出了企业数据质量管理(Enterprise DQM)的成熟度模型,该模型旨在支持企业有意识地设计和建立组织范围的数据质量管理。模型设计过程涵盖了5年的时间,包括多个设计和评估周期的几个迭代,以及与实践者的密集合作。成熟度模型是一个层次模型,在其最详细的层次上,包含30个实践和56个度量,这些度量可以在评估期间用作具体的评估元素。除了用于确定组织中企业DQM的成熟度水平外,本文的结果还有助于信息系统(IS)社区中关于成熟度模型设计的持续讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Maturity Model for Enterprise Data Quality Management
Enterprises need high-quality data in order to meet a number of strategic business requirements. Permanent maintenance and sustainable improvement of data quality can be achieved by an enterprise-wide approach only. The paper presents a Maturity Model for Enterprise Data Quality Management (Enterprise DQM), which aims at supporting enterprises in their eff ort to deliberately design and establish organisation-wide data quality management. The model design process, which covered a period of fi ve years, included several iterations of multiple design and evaluation cycles and intensive collaboration with practitioners. The Maturity Model is a hierarchical model comprising, on its most detailed level, 30 practices and 56 measures that can be used as concrete assessment elements during an appraisal. Besides being used for determining the level of maturity of Enterprise DQM in organisations, the results of the paper contribute to the ongoing discussion in the information systems (IS) community about maturity model design in general.
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