The NRX Blog

With data migrations, prevention is always better than cure. So, it’s important to set yourself up for success from the beginning.

This is a standard measure of success when moving to a new EAM system. It should become obvious early on that your company’s workflow and operations are running more smoothly with less hiccups along the way.

When fulfilling work orders the rule of thumb is the quicker the better. However, the speed of operations should not jeopardize the quality of output.

Visualization can also make your data more interactive, an example being exploded parts diagrams. This helps reduce errors, prevent the wrong parts from being ordered, and maintain efficiency with maintenance planning.

Asset data is hardly ever static. Data is always changing as new assets are added and old assets are retired. It is important to keep up with any changes in engineering and spare parts replacement. Keeping up with the dynamic aspects of asset data is a complex process and requires high coordination.

Having information detailing the parts needed to repair and maintain critical equipment is not a new need, yet remains vital to successful operations, especially in the manufacturing industries. Maintenance professionals should have a holistic view of their asset data and be fully aware of all aspects required for maintenance.

The data and analytics you have access to in your EAM or CMMS system lies at the centre of building an effective predictive maintenance strategy, saving your company much time and money. Accurate data will give you clear insight into your asset performance, to help you better understand the source of all your downtime.

Most of the causes of downtime can be prevented, but there are things that no one has control over such as catastrophic weather events, even with a planned process in place. Given that most of the reasons behind unexpected downtime are preventable, it is important your company ensures enough resources are being channeled toward preventing the unnecessary lost revenue and increased costs that result from downtime

If your master data is not cleansed regularly, your operations will take a hit. Once asset and maintenance fails to perform as it should, a chain reaction occurs significantly impacting maintenance operations. This is why the most effective strategy is ensuring asset and maintenance data is clean before loading it into a new EAM or CMMS system.

Having a top tier EAM or CMMS system will not fix bad data. Therefore, it is crucial for an asset-intensive organization to ensure their data is clean and accurate before performing a migration. Otherwise, the problems you were dealing with before will only get worse. When a company’s master data is bad, it has a direct effect on maintenance practices and can drastically slow down business operations, leading to increased downtime and of course, higher cost.