The NRX Blog
So Much To Do, So Little Time
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.
Quality Over Quantity
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.
What happens after your EAM Migration?
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.
The Perils of Poor CMMS Data Quality
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.
The True Costs of your Legacy Systems
If you were to consider factors such as company growth and increased sales, how would you achieve this with your old system in place? With new technology and added features, migrating your data to a new EAM/ CMMS system can help improve your data and reliability.
What about your Legacy System?
During your EAM Migration project, you encounter new asset and maintenance data that needs to be created and entered into your new CMMS solution. What do you do? Often the implementation team is led by IT who don’t have the knowledge to create the data.
Starting from the Source
When deciding to conduct an EAM migration, it is imperative that your data is reviewed and audited before loading it onto your target EAM. However, during the review process, lack of time and a suitable platform from the maintenance and reliability teams to review and approve data before loading it into the target system can pose to be a problem and lead to inaccuracies further along the way.
Keeping up with your Source Data
Your source data contains some very useful information that is helpful while migrating your data to a new EAM system. In fact, the first and foremost step in the data migration process is extracting master data from the source EAM. But what happens when your source data is not preserved accurately? You are no longer able to make accurate reference points and attribute new data to existing data.
Buried in your EAM system?
If you have a maintenance role at an asset-intensive organization, you are probably aware of the amount of data in your EAM system. Amidst all this data, there are almost certainly gaps and inaccuracies. Migrating to a new EAM system is an excellent opportunity to fill those gaps and correct those inaccuracies.
What Could Go Wrong With An EAM Migration?
Your organization has finally decided to migrate to a new EAM/ CMMS system. You may think that it is a smooth process that would deliver great returns; however, a migration requires careful planning and scheduling from your side to ensure that all data is transferred accurately and that you do not encounter one of the many problems outlined below.