The NRX Blog

The Perils of Poor CMMS Data Quality

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.

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The True Costs of your Legacy Systems

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.

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What about your Legacy System?

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.

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Starting from the Source

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.

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Keeping up with your Source Data

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.

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Buried in your EAM system?

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.

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What Could Go Wrong With An EAM Migration?

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.

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Avoiding Asset Data Loss During an EAM Migration

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.

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Making the Switch?

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.

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What Your Spreadsheets Don’t Tell You

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.

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