Asset integrity is the ability of an asset to perform effectively and protect the well-being of workers that use it. Asset integrity is not just for one particular phase but applies to all operation phases, including design, maintenance, and replacement. When migrating EAM systems, problems with asset integrity arise if the data quality itself is poor. This is why high-quality EAM/CMMS data is important when migrating systems to ensure asset integrity. Below are the consequences of poor EAM/CMMS data on a company’s asset integrity.

Poor Health and Safety Standards

Companies must ensure that their data is consistent with plant operating and safety procedures. Otherwise, insufficient and inaccurate data can reduce compliance with health and safety standards and make it difficult to measure the mechanical integrity of an asset. This means that an asset is more likely to break down as a result of poor quality data. Poor asset data also makes it challenging to predict operational failures. Operational failures such as accidents and breakages can result in catastrophe and can incur huge costs.

Return on Asset

Poor asset integrity due to insufficient EAM/CMMS data means that it will require more maintenance. Poor data makes it challenging to take part in strategic maintenance, which ultimately decreases the uptime of an asset and increases its maintenance costs. It also shortens the lifetime of an asset which means more money will be spent on replacing it. Even when an asset can work, it may result in poor end-quality of a product. Overall, poor EAM/CMMS data will result in low profitability from assets.

Asset Lifecycle Management

When they are acquired, assets usually contain data on how it should be used in their proper context, what spare parts are needed, and how it is to be maintained and repaired. If this information isn’t able to be found, then it can cause difficulties in these areas. Suppose assets are unable to be maintained well as a result of insufficient data. In that case, it can significantly reduce the life cycle of an asset and incur enormous costs for your company. Poor quality data can also make it challenging to forecast the end of an asset’s life, so an asset breaking down can come about unexpectedly.


If you are planning an EAM migration, the last thing you want to do is go into it with poor quality data as it can cause asset integrity issues such as what’s described above. To cleanse your asset data before migrating, consider using HubHead’s solutions that help you to enrich, edit and validate your data before it is loaded onto a new system. Contact us to book a demo or download our brochure.

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