Before beginning a migration from one EAM/CMMS system to the next, it’s worth considering the quality of data being transferred. Afterall, an EAM/CMMS system is only as reliable as the data it stores. Therefore, now’s an optimal time to edit and/or change the data you’re using before importing it into the next system. Here are a few fixes worth considering.
Edit Your PMs Before you Migrate
PMs can be challenging to edit and change in most EAM systems. Once they have been set up inefficiently without IIOT, APM, and condition-based monitoring in mind, it makes it very challenging to transition from time or usage-based PMs to predictive maintenance. It is much easier to edit or change your PMs before a migration when they are not already set up in your EAM/CMMS or associated with historical work order data and when changes can be made connected with a migration or upgrade.
Your Asset Hierarchy May Not Be Optimized
It is essential to review and restructure your asset hierarchy before an EAM migration to ensure that the hierarchy for your new EAM/CMMS system is set up for optimal performance. For successful APM analysis, you may require a process-oriented hierarchy. However, restructuring your asset hierarchy to be process-oriented becomes very difficult once you operate your EAM/CMMS system with a non-process-oriented hierarchy. The alternative is to maintain multiple hierarchies, which creates data management errors and inefficiencies. An EAM migration presents a perfect time to review and restructure your asset hierarchy to improve performance and efficiency. It is challenging to fix your asset hierarchy in a live system with lots of transactional data. A migration provides an opportunity when you already need to bring your data out of your current EAM/CMMS system.
“The Same Inaccuracies in Your Master Data will be Transferred to Your New EAM System”
New System, Same Problems
Many asset-intensive companies struggle with inaccurate asset and maintenance master data. Inaccurate master data dramatically impacts a company’s maintenance operations and costs, and so ensuring the quality and reliability of your master data is crucial before exporting to the new system. Simply lifting your master data from your current CMMS or EAM system and loading it into your new EAM brings the same inaccurate data directly out of your old system and into your new one. Without improving the quality of your master data and identifying the gaps and inadequacies in your master data, you will not be able to experience all the benefits of your new EAM system. Anytime you migrate data from one CMMS or EAM system to another and export the master data from your current systems is optimal for data improvement.
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