How can you tell that bad data is bad data? When dealing with an EAM system that has a countless number of files, documents, and other entries, evaluating your spare parts data quality as a whole and recognizing the good and the bad can be tricky. If we think of poor quality materials data as an illness like a cold or a flu, then there are certain symptoms to look out for that can tell us if we need to treat it. In other words, there are broader ways to look at the performance of your EAM system and discover some signs that your spare parts data needs a cleanse.

3 major signs your materials data may need a cleanse:

1. Decreased productivity: Inaccurate spare parts data leads workers to spend an unnecessary amount of time searching the EAM system for the information they need rather than performing the tasks at hand. Maintenance processes can run behind schedule as maintenance workers take more time to understand the details of their work orders and the materials needed to complete them. What’s worse, a plant can face critical and unexpected downtime as a result of the human errors that are often an inherent by-product of poor quality data.

2. Poor communication and collaboration: If the way you name and classify your spare parts data lacks a universal standard, then talking about those spare parts with other people from other plants who have different names and classifications for their materials is going to be tough. If you or your workers find themselves struggling to work well across plants or departments, that may be a sign that poor quality data is stopping everyone from speaking the same language. Multinational companies struggle when different countries use different languages to describe the same spare parts.  A good cleanse can tie all those languages together efficiently.

3. Cost overages: Your inventory may have some spare parts in excess because extra replacement parts were ordered “just in case”. Perhaps some spare parts were bought in error because they were mistaken for a different part. The inefficiency of your maintenance workers may be causing you to go over budget or fall behind schedule. If any of these sound like issues your plant regularly faces, it may be time to consider the effect that your materials data quality is having on the expenses of your organization.

It could be time to take action.

Just like ignoring your cough is not going to make your cold go away, ignoring the signs that your spare parts data needs a cleanse is not going to improve your data quality. You need to treat the issues with your materials data quality with a materials cleansing solution. Not only does it help your materials data quality, cleansing your materials data can improve the overall health of your asset-intensive business. If any of the signs above sound like bad data symptoms that your plant may be dealing with, you can check out one of our resources below or book a demo with us to learn how NRX AssetHub can help you deal with dirty data!

Related Posts
What Do We Mean When We Say Clean?
Clean materials data
More Ways to Save Money with a Materials Data Cleanse
More Ways to Save Money with a Materials Data Cleanse
Building BoMs with Bad Spare Parts Data
Building BoMs with Bad Spare Parts Data

Share this article