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Mining Hidden Dollars with EAM through Data Quality

The white paper is the first of its kind to delve into optimization of EAM operations from data collection to data loading. The importance of conducting field asset verification is discussed in addition to how gathering, enhancing, and managing asset data is critical for rigorous spend and maintenance analytics. “Missing, incomplete, and bad data can cause millions of dollars in losses due to unplanned downtime, lost revenues, and regulatory fines,” said Peter Aynsley-Hartwell, global vice president, solutions consulting at Utopia. “Our experience in providing solutions to these problems is embodied in this paper.”

With the right EAM data strategy and methodology an enterprise can dramatically improve the availability of its manufacturing assets, a key factor in long-term success in heavy industries. By assuring data completeness and timeliness, companies can implement better maintenance strategies, cost-effective spare parts provisioning, and vendor-supply chain optimization. These benefits extend to the evolving environmental and regulatory reporting obligations.

“This white paper provides best practices for assuring EAM success with high quality data,” said the author of the paper, Herb Hadley, EAM director of solutions consulting at Utopia. “Further, we show how to collect data from diverse sources, structured and unstructured, using new and innovative methods, and discuss the mechanisms for cleansing and validating the data prior to loading in a company’s EAM system.”

To obtain your copy of Utopia’s new white paper “Mining Hidden Dollars with EAM” visit our site

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