将敏捷方法融入数据管理:同时实现灵活性和控制性

Naomi Chukwurah, Adebimpe Bolatito Ige, Courage Idemudia, Osemeike Gloria Eyieyien
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摘要

本综述论文探讨了将敏捷方法融入数据治理以实现灵活性和控制性的问题。敏捷方法以其迭代开发、协作和对变化的响应能力而著称,可以增强数据治理框架的适应性。本文分析了敏捷原则与数据治理的一致性,讨论了整合策略,如适应性数据治理和增量实施,并探讨了如何在灵活性与有效数据治理所需的控制之间取得平衡。关键实践、挑战和潜在解决方案的重点是培养协作文化和利用适当的工具和技术。本文还提出了未来的研究方向,强调了新兴技术和不断变化的监管要求的作用。最终,这种整合可增强决策、运营效率和组织竞争优势。
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Integrating agile methodologies into data governance: Achieving flexibility and control simultaneously
This review paper explores integrating agile methodologies into data governance to achieve flexibility and control. Agile methodologies, known for their iterative development, collaboration, and responsiveness to change, can enhance the adaptability of data governance frameworks. This paper analyzes the alignment of agile principles with data governance, discusses strategies for integration, such as adaptive data governance and incremental implementation, and examines how to balance flexibility with the necessary controls for effective data governance. Key practices, challenges, and potential solutions focus on fostering a collaborative culture and leveraging appropriate tools and technologies. The paper also suggests future research directions, emphasizing the role of emerging technologies and evolving regulatory requirements. Ultimately, this integration enhances decision-making, operational efficiency, and organizational competitive advantage.
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