Now more than ever, companies are pushing the boundaries of science and technology with innovation. Our planet is no longer an abundance of resources, and companies are using creative methods to provide for the world’s demands. Markets have a high demand for solutions to the world’s problems and companies are doing a really good job of providing new and innovative solutions.

The competition in industry is fierce so in order to stay profitable companies are launching “never been done before” projects and inventing brand new processes. Procedures are becoming leaner, smarter, and more compatible with industry standards. These changes naturally lead to new ways of managing data. Asset intensive projects will require efficient data builds and ease of data management. When the world is watching to see if the new process will succeed or fail, companies need clean data that they can rely on.

When working on a data build, NRX receives common requests from customers on how they want their data to appear. One of them being that the new project data needs to match the standard of the company’s existing data. Users across the company will need to access and understand the data. Matching company standards allows for simplicity in reading and comprehending the data with ease. Additionally, companies want time saved and money saved on the data management of their project through an efficient parts ordering process.

The first step is to build the data hierarchy. Ability to drag and drop assets into their functional location is a great way to speed up this tedious process. It is important to automate as much of the manual data build as possible. Users should have the ability to search for what is not already in the hierarchy so they can pick up the project quickly where it was left off. The asset classes can be set to auto assign so that it aligns with company standards as well as safety and industry requirements. It is also possible to have the data prepopulate in mandatory fields. Mandatory fields can have rules set for them. For example, A, B, and C classes must be filled in, or equipment names need to be shorter than 400 characters. This will help you have a successful load into your EAM system, keep your data standardized and complete.

Once your data is loaded you can focus on creating an efficient parts ordering process in order to save time and money on data management. There are two areas where companies tend to really struggle. The first issue acknowledged is not being able to compare new parts needed with the existing parts in already in the procurement system. This is important because spare parts should not be added if they already exist in the system. Duplicates result in extra procurement effort and hinder supply chain optimization efforts.  Currently, the process to find duplicates is very time consuming and tedious. A matching solution is needed that compares equipment with similar names, manufacturers and descriptions and allows users to quickly identify and resolve potential duplicates. The second issue is automating the process of creating BOMs. Ideally, users should be able to pick specific equipment and select which parts from a list they want to order. When parts reach a minimum, they should be ordered automatically.

NRX is creatively providing new solutions to the time consuming, and manually intensive aspects of the data build process. We have identified the areas in which asset intensive companies struggle the most and provide simple to use, time saving solutions. We have proven that our software increases the accuracy of your data. NRX would love to help you with your data build by providing a time sensitive and economical solution so that you can invest more into your project. Learn more about our innovative data build solutions here.

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