提高金融机构数据质量的数据治理模型

IF 3 3区管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information Systems Management Pub Date : 2022-03-07 DOI:10.1080/10580530.2022.2042628

Sona Karkosková

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引用次数: 11

摘要

本文主要研究和实践数据治理。作者通过对电力、零售、电信、银行或保险公司的大量案例研究，积累了丰富的数据治理知识。作者从技术和流程角度拥有超过九年的经验，现已成为数据治理专家，专注于治理框架的设计和实施。作者提供了许多培训课程，以提高对数据的了解，从而从中获得最大价值。金融机构的数据治理在很大程度上受到监管要求的驱动。数据治理标准很复杂，缺乏实施细节。本文提出了一种用于金融机构的数据治理模型。数据治理模型基于BCBS 239和DAMA方法论。该模型增强了DAMA的实践，并根据金融机构的需求进行了调整。数据治理模型的范围仅限于数据治理、数据质量和元数据管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Governance Model To Enhance Data Quality In Financial Institutions

ABSTRACT The author concentrates on data governance in research and practice. The author has developed a strong knowledge of data governance through numerous case studies of electricity, retail, telecom, banks, or insurance companies. With more than nine years of experience from both technical and process point of view, the author has become a Data Governance specialist with focus on design and implementation of governance frameworks. The author has given numerous training courses to improve knowledge of the data to derive maximum value from it. Data governance in financial institutions has been significantly driven by regulatory requirements. Data governance standards are complex and lack implementation details. This paper proposes Data Governance Model used in a financial institution. Data Governance Model is based on BCBS 239 and DAMA methodology. The Model enhances practices of DAMA and tailors them to the needs of financial institution. The scope of the Data Governance Model is limited to data governance, data quality, and metadata management.

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来源期刊

Information Systems Management 工程技术-计算机：信息系统

CiteScore

14.60

自引率

1.60%

发文量

审稿时长

>12 weeks

期刊介绍： Information Systems Management (ISM) is the on-going exchange of academic research, best practices, and insights based on managerial experience. The journal’s goal is to advance the practice of information systems management through this exchange. To meet this goal, ISM features themed papers examining a particular topic. In addition to themed papers, the journal regularly publishes on the following topics in IS management. Achieving Strategic IT Alignment and Capabilities IT Governance CIO and IT Leadership Roles IT Sourcing Planning and Managing an Enterprise Infrastructure IT Security Selecting and Delivering Application Solutions Portfolio Management Managing Complex IT Projects E-Business Technologies Supporting Knowledge Work The target readership includes both academics and practitioners. Hence, submissions integrating research and practice, and providing implications for both, are encouraged.