The NRX Blog
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.
Avoiding Asset Data Loss During an EAM Migration
Software migrations are essential for a variety of reasons. For instance, moving to a new EAM system can help improve reporting, updating, and analyzing data. Moreover, migrating to a new system offers an opportunity to adopt best practices and improve your asset and maintenance master data.
Making the Switch?
With the amount of data you have, your present software system may not be able to keep up with your needs. Your software system may be outdated, which affects your productivity and efficiency.
What Your Spreadsheets Don’t Tell You
You have all this perfect work order data, so what do you do next? You add all that data to a spreadsheet with the hope that you’ll be able to calculate critical metrics without any errors and that you can make better-informed decisions.
Unpacking your Historical Work Order Data
Your historical work order data contains useful insights that can help you identify improvement areas and take your maintenance strategy to the next level. Analyzing historical work order data over time can also help you plan and assign tasks easier.
Making Use of that Historical Work Order Data
What happens when your historical work order data is all over the place? It can lead to inconsistencies in operations and maintenance due to your organization’s different parts using other codes and procedures to complete work orders. Overall, this does not benefit your organization in the long term since a huge chunk of your data can be assessed from historical work orders