How to Master Data Management

PublishTime：2022-03-22

The whole point of connecting disparate assets and systems to one another and to a central asset management system via intelligent tools and devices in the field is to allow them to generate real-time performance and operating conditions data, allowing for a more holistic view of asset health. Having more and better data should let managers and technicians make better decisions sooner. These decisions – about whether, when, and how to service an asset or otherwise intervene in its operation – are critical from the perspectives of not only preserving/extending an asset's lifecycle and avoiding unnecessary downtime but also preventing a major safety incident.
But decisions are only as good as the data they're based on. And if the data available to the decision-maker (whether a plant manager, a reliability engineer in a control room, or a technician in the field) isn't the most recent data available because data from the field doesn't match the central database, there can be serious consequences.
To move toward optimized decision-making based on real-time data, you need to combat data lag throughout your organization, and doing so means first identifying where and why data lag emerges. Here's a look at three factors that may be contributing to a data gap in your facilities.

Brand of Product：	EMERSON
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Data Type：	White Paper More
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Language：	English Chinese Chinese and English Japanese
Date of Creation：	2017/4/22
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Data Size：	358 KB

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