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首页> 外文期刊>Procedia Computer Science >‘Accounting’ for Data Quality in Enterprise Systems
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‘Accounting’ for Data Quality in Enterprise Systems

机译:企业系统中数据质量的“会计”

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摘要

Organisations are facing ever more diverse challenges in managing their enterprise systems as emerging technologies bring both added complexities as well as opportunities to the way they conduct their business. Underpinning this ever-increasing volatility is the importance of having quality data to provide information to make those important enterprise-wide decisions. Numerous studies suggest that many organisations are not paying enough attention to their data and that a major cause of this is their failure to measure its quality and value and/or evaluate the costs of having poor data. This study proposes an integrated framework that organisations can adopt as part of their financial and management control processes to provide a mechanism for quantifying data problems, costing potential solutions and monitoring the on-going costs and benefits, to assist them in improving and then sustaining the quality of their data.
机译:随着新兴技术为企业开展业务的方式带来更多的复杂性和机遇,组织在管理企业系统时面临着越来越多样化的挑战。不断增加的波动性是拥有高质量数据以提供信息以做出这些重要的企业范围决策的重要性。大量研究表明,许多组织对数据的关注度不足,其主要原因是无法衡量其质量和价值和/或评估拥有不良数据的成本。本研究提出了一个集成的框架,组织可以将其用作其财务和管理控制流程的一部分,以提供一种机制来量化数据问题,对潜在解决方案进行成本估算并监控持续的成本和收益,以帮助他们改善并维持财务状况。他们的数据质量。

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