Has your EAM Master Data become your worst nightmare? Is it confusing, hard to identify or full of inaccuracies? Are you stumped looking for solutions to improve it? Perhaps you’re struggling to find the root causes as to why your master data is so poorly structured. If your asset-intensive company is struggling with these challenges, you’re not alone. Here are 7 tips on how to get better EAM Master Data now!

  1. Don’t start too late

Most maintenance engineering teams begin the process of building maintenance master data too late, thus exposing the business to critical risks. To avoid that, maintenance engineering teams must begin the process of building maintenance master data during the Feed stage of the asset lifecycle.

  1. Use the right tools

Instead of having your maintenance engineering team rely on complex sets of spreadsheets or software programs to build, enrich, validate and handover maintenance master data for new projects, they should use software that allows a transparent view into their progress and are able to re-purpose past work on similar project.

  1. Don’t work in silos

When your maintenance engineering teams are spread across different geographic locations, it is hard for owners/operators to properly develop a collaborative working environment for building maintenance master data. Try to allow more visibility into the status of the data build so project owners can see the bigger picture.

  1. Manage change in an effective manner

Many owners/operators find it increasingly difficult to apply, adhere to and automate data building standards. To avoid that, you must use the right technology and processes to communicate and enforce standards so it does not slow down the data building process, threaten data quality and lead to regulatory penalties.

  1. Learn from your mistakes

Owners/operators must be able to reuse existing maintenance master data so that the maintenance engineering teams do not have to reinvent the wheel for every new Capital project. They need to be able to have a scalable method for leveraging approved data and knowledge from past CMMS Master Data Builds.

  1. Use vigorous validation

Since most Capital Projects are large and complex, owners/operators must employ a governance process for validating EAM-ready data so that they do not expose themselves to critical risks. These governance processes must not be maintained manually through spreadsheets as it will fail to scale properly.

  1. Build on a solid foundation

Make sure that the range of reference data required is not spread across a range of databases and software applications. Failure to consolidate this data prevents maintenance engineering teams from acting efficiently as it forces them to waste time tracking it down.

Still unsure on how to repair your EAM or CMMS data? Ask the Experts!

NRX AssetHub provides asset-intensive companies with a software platform designed to help them quickly and easily identify and repair the gaps and inaccuracies in their asset and maintenance data in their CMMS or EAM systems. NRX AssetHub is a data-cleansing solution that makes it easy to repair and redeploy the critical data that our customers need to effectively maintain and operate their assets.

If you would like to find out more about how NRX AssetHub can help you easily and efficiently manage your EAM master data, as well as help repair and leverage your broken data, contact us at 1-877-603-4679 or book a demo today!

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