The NRX Blog

Back to Basics: Why simplifying BOMs is beneficial

Back to Basics: Why simplifying BOMs is beneficial

Simplifying BOMs Asset-Intensive companies use BOMs to order parts, conduct maintenance and to ensure that machinery and operations are conducted in an efficient fashion. All too often though, they lay riddled with misinformation, incomplete lists and other errors and...

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One Size Does Not Fit All

One Size Does Not Fit All

Picking the right software for your company is a complicated task. This process is extremely bureaucratic due to the number of people that need to agree upon and approve of the software purchase. Often, the team that chooses or approves the software works separately...

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Fixing 10% can make 90% of the Difference

Fixing 10% can make 90% of the Difference

Why is it so tempting to put off doing a corporate data cleanse? Partially, the huge upfront cost. Companies would much rather spend on something that is tangible like brand new equipment, or larger facilities. Then there is the manpower required to efficiently run a...

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Data Quality Trust Issues

Data Quality Trust Issues

Your job requires data that has been compiled by numerous different sources and so a certain amount of trust in the work of others is required. What if you find persisting errors riddled in the data that you require to do your job? Are you still able to trust any of...

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Culture eats Strategy for Breakfast

Culture eats Strategy for Breakfast

Where are you now, and where do you want to be? Plan, idealize, break down each process. Strategize. Make a business report, have it approved. But wait, all of this will be worthless if you cannot inspire your team to carry out your vision. Schedule a Meeting Perhaps...

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Execute an Efficient Data Cleansing Project

Execute an Efficient Data Cleansing Project

Today we live in a world where data is a necessary asset at any part of any profitable organization. However, without a proper routine in place to keep data clean, insights and value cannot be fully realized. Before knowing how to execute an efficient data cleansing...

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