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CLEARING OUT THE DATA CLUTTER: HOW WELL-MAINTAINED DATA CAN ADD VALUE TO YOUR RELIABILITY PROGRAM

机译:清除数据杂物:精心维护的数据如何为您的可靠性计划增加价值

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摘要

We have all heard the phrase, "Good data in, good data out. Bad data in, bad data out." While this concept is well known in theory, there is often a large amount of focus spent on acquiring the latest software and participating in the latest reliability trends, without ensuring that the basic data managed in our facilities is of good quality. In reality, data management is an integral part of maintaining efficient business processes. Properly maintained data can enable facilities to make better-informed business decisions, leading to optimized maintenance costs, improved safety, and greater compliance. On the other hand, bad data causes severe inefficiencies, a false sense of confidence in facility reliability, and an inability to accurately forecast a facility's operational budgets.
机译:我们都听到过这样的短语:“好数据输入,好数据输出。坏数据输入,坏数据输出。”尽管此概念在理论上是众所周知的,但通常会花费大量精力来购买最新软件并参与最新的可靠性趋势,而又不能确保我们设施中管理的基本数据质量良好。实际上,数据管理是维护高效业务流程的组成部分。正确维护的数据可使设施做出更明智的业务决策,从而优化维护成本,提高安全性并提高合规性。另一方面,不良数据会导致严重的效率低下,对设施可靠性的错误信心以及无法准确预测设施的运营预算。

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