The transitionary period between one EAM/CMMS system to the next is where the quality of your asset and maintenance data will matter the most. You want to ensure the data you’re importing to the new system is reliable. Therefore, why not use this opportunity to review and improve the quality of your data? Here are several reasons you should consider fine-tuning your data during your EAM/CMMS system transition.
Best Before Migration Completion
PMs are challenging to edit and change in most EAM systems once you start accumulating transactional work order data. 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 organize or change your PMs before a migration when they are not already set up in your EAM or associated with historical work order data and when changes can be made connected with a migration or upgrade.
Don’t Invite Duplicates, Inaccurate, and Obsoletes to the New System
Many asset-intensive companies struggle with inaccurate asset and maintenance master data. Inaccurate master data dramatically impacts a company’s maintenance operations and costs, so ensuring the quality and reliability of your master data is crucial.
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. 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.
Optimizing Asset Hierarchies
Before an EAM migration, reviewing and restructuring your asset hierarchy (when necessary) is critical to set up your new EAM system 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 with a non-process-oriented hierarchy. The alternative is maintaining multiple hierarchies, which creates data management errors and inefficiencies.
Planning for an EAM migration is an excellent opportunity to review and restructure your asset hierarchy to maximize efficiency and use. Moreover, since data migrations require data to be exported from the current EAM/CMMS system anyways, why not use this valuable time to revitalize your asset hierarchy organization.
How We Can Help You
Optimizing your PMs, restructuring your asset hierarchy, and improving the quality of your master data are essential steps for ensuring you get the most out of your new EAM system.
Want to learn more about improving your data ahead of an EAM migration? Try downloading our brochure or booking a demo with us so our team can help out!
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