采矿业中的敏捷数据体系结构,用于持续的业务- it对齐:EA视角

R. Yuliana, B. Rahardjo
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引用次数: 3

摘要

数据发挥着至关重要的作用,特别是在矿业企业中,通过精确的决策来促进创新和经营绩效。科学家们创造了多种数据库技术来支持他们,如大数据、数据云等。与此同时,企业在使用各种数据库技术时也面临着波动的局面。遗憾的是,目前仍然很难正确地使用数据库技术,因为没有模型规则来进行完善的规划,以便他们可以根据自己的情况选择合适的工具。因此,本文旨在基于各种框架、工具和方法/技术,为矿业公司设计一个敏捷的企业数据架构模型规则(蓝图),以便管理人员能够管理其数据资产,实现可持续的业务- it对齐。该数据架构参考模型便于首席信息官采用,以实现矿业企业的一体化,并指导用户做出准确的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agile Data Architecture in Mining Industry for Continuously Business-IT Alignment: EA Perspective
Data plays a vital role particularly in mining enterprises to foster innovation and business performance through precise decision-making. Scientists have created many kinds of database technology to support them, such as big data, data cloud, etc. Meanwhile business is always facing a fluctuant situation in using those various database technologies. Unfortunately, there is still hard to use database technology in a proper way because there are no model rules in making a perfect planning so that they can choose suitable tools for its own case. Therefore, this paper aims to design an agile enterprise data architecture model rules (blueprint) in mining company based on various frameworks, tools and methods/techniques so that managers can govern their data asset for sustainably business-IT alignment. This data architecture reference models can be easily adopted by CIOs in order to move toward an integrated mining enterprises as well as guide user in producing a precise decision-making.
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