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Predictive Analytics Software, Services Forecast Asset Failure

机译:预测分析软件,服务预测资产故障

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摘要

Operating, maintaining, and managing assets throughout their Jifecycle is a massive built-in expense, made even more critical by the frequency of unpredicted, catastrophic machine Failures. Asset downtime, especially, if unplanned, is a multi-million dollar issue for organizations; and the related unscheduled maintenance costs can range from three to 10 times the cost of scheduled maintenance. The world is entering a new era of smart, where decisions will be based on facts, data, and increasingly on the ability to apply analytics to massive data sets and extract very precise business insights.
机译:在整个Jifecycle中操作,维护和管理资产是一笔巨大的内置费用,而意外的灾难性机器故障的发生频率就变得尤为重要。资产停机,特别是如果计划外的停机,对组织而言是数百万美元的问题;相关的计划外维护成本可能是计划维护成本的三到十倍。世界正在进入一个新的智能时代,决策将基于事实,数据,越来越多地基于将分析应用于海量数据集并提取非常精确的业务洞察力的能力。

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