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Towards a maturity model for corporate data quality management

机译:迈向企业数据质量管理的成熟度模型

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High-quality corporate data is a prerequisite for world-wide business process harmonization, global spend analysis, integrated service management, and compliance with regulatory and legal requirements. Corporate Data Quality Management (CDQM) describes the quality oriented organization and control of a company's key data assets such as material, customer, and vendor data. With regard to the aforementioned business drivers, companies demand an instrument to assess the progress and performance of their CDQM initiative. This paper proposes a reference model for CDQM maturity assessment. The model is intended to be used for supporting the build process of CDQM. A case study shows how the model has been successfully implemented in a real-world scenario.
机译:高质量的企业数据是全球业务流程协调,全球支出分析,综合服务管理以及遵守法规和法律要求的先决条件。企业数据质量管理(CDQM)描述了质量导向的组织和控制公司关键数据资产,如材料,客户和供应商数据。关于上述业务司机,公司要求仪器评估其CDQM倡议的进展和履行。本文提出了CDQM成熟度评估的参考模型。该模型旨在用于支持CDQM的构建过程。案例研究表明,该模型如何在真实的情景中成功实现。

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