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引用次数: 0

摘要

组织内数据的指数式增长要求实施有效的数据管理实践,这反过来又要求建立数据治理。可以使用成熟度模型来评估数据治理的成熟度。然而,现有的数据治理成熟度模型在所使用的数据治理能力方面一致性有限,而且缺乏实证验证。为弥补这一不足,本研究旨在验证大型组织内先前研究中确定的数据治理能力集。本研究采用案例研究设计,对数据治理专家进行半结构化访谈。在半结构式访谈的基础上,设计了成熟度模型作为调查问卷,以讨论每种数据治理能力的相关性。本研究的结果为数据治理能力集提供了经验验证,并通过为成熟度模型设计提供一套全面、经过验证的数据治理能力集,促进组织内部和组织之间的数据治理,从而推动数据治理研究和实践的发展。
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Data Governance Capabilities; Empirical Validation in Case Studies of Large Organisations
The exponential growth of data within organisations necessitates the implementation of effective data management practices, which in turn necessitates the establishment of data governance. The evaluation of the maturity of data governance can be carried out using maturity models. However, the existing data governance maturity models are limited in their consistency in terms of data governance capabilities used and lack empirical validation. To address this gap, this study aims to validate the set of data governance capabilities identified in prior research within large organisations. This study employs a case study research design, using semi-structured interviews with experts in data governance. As a basis for the semi-structured interviews, maturity models are designed as questionnaires to discuss the relevance of each data governance capability. The results of this study provide empirical validation of the set of data governance capabilities and contribute to the advancement of both data governance research and practice by providing a comprehensive, validated set of data governance capabilities for maturity model design to advance data governance within and between organisations.
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