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Beyond Data Quality: Data Excellence Challenges from an Enterprise, Research and City Perspective

机译:超越数据质量:企业,研究和城市视角的数据卓越挑战

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Researchers and practitioners widely agree on data quality as one of the major goals of data management. However, data management departments in enterprises and organisations increasingly realise needs for data availability, compliance, operational excellence with regard to the domain and other data-challenges. In raised case studies in the enterprise, research and city domain, challenges regarding data availability, operational integration, compliance and quality of data management processes are analysed. Based on the concept of data quality, this paper argues for a similar concept with a broader scope for assessing an organisation's data suitability. Based on literature and case studies this paper proposes a definition of the term data excellence as the capability of an organisation to reach its operational goals by ensuring the availability and integration of suitable, transparent and compliant high quality data.
机译:研究人员和从业者广泛地达成了数据质量作为数据管理的主要目标之一。然而,企业和组织的数据管理部门越来越多地实现数据可用性,合规性,卓越的卓越方面的需求以及其他数据挑战。在企业,研究和城市领域的案例研究中,分析了关于数据可用性,运营集成,合规性和数据管理流程质量的挑战。基于数据质量的概念,本文认为类似概念,具有更广泛的范围,用于评估组织的数据适用性。基于文学和案例研究,本文提出了通过确保适当,透明和符合高质量数据的可用性和整合来实现其运营目标的卓越数据卓越的定义。

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