The NRX Blog

A significant aspect of building accurate BoMs is ensuring the spare parts data imported into the system is clean and organized. If this data is misnamed, missing specific elements, or just all around disorganized, chances are the quality of your final product will be compromised.

The key to effective asset and maintenance data management is accuracy. An EAM system can only do so much with poor quality data and the same applies to BoMs. BoMs can provide accurate material information in real time to ensure all parts are stocked and identifies which parts are needed to complete work orders.

Asset-intensive companies are heavily dependent on proper spare part management to ensure seamless operations alongside cost reduction. BoMs can be extremely useful for these companies when maintaining equipment and ordering spare parts. Some of the benefits include increased accuracy with work orders, reduced downtime, decreased duplication, and much more.

As discussed in our previous blog, every data migration comes with a fair amount of risks. We also mentioned some of the things that could go wrong: asset data loss, productivity loss, or an outright failure. The rising popularity of EAM and CMMS systems among...

SAP EAM systems help companies better manage complex data and business processes. While several organizations may use SAP software or SAP S4Hana to manage their asset data, your maintenance process before migrating into the system will determine how well your data will work for you. Keep reading to see how NRX AssetHub fits with the SAP solution.

An EAM migration might appear to be a lengthy and challenging process. You might be unsure about how your new system will be configured. What you should know, is much of that depends on your data migration plan and maintenance strategy.

Migrating from one EAM system to another is necessary for every asset-intensive company. This is a significant task and while it may seem overwhelming, there is no better opportunity to update your asset and maintenance data, eliminate duplicates, and ensure accuracy.

With poor data quality in your new EAM system, maintenance, reliability, and asset integrity are some of the critical factors that are impacted the most. Eventually, with poor data quality, your organization becomes wary of your new EAM software, and as a result, software usage decreases.

Your data quality can either make or break your new software. It is all good when you have the best quality of data migrated from your legacy system to your new EAM system. However, when poor asset and maintenance data quality exists, the ROI and overall effectiveness of your new EAM system suffers.