The enterprise asset management (EAM) system’s primary objective is to deliver rich and actionable asset management information to end-users. Great information drives actions that significantly lower unplanned equipment downtime and MRO costs.
EAM content is a critical information driver. EAM content consists of system coding structures, taxonomies, work order data, naming conventions, MRO materials usage data, preventative maintenance schedules, purchasing histories, etc. Simply put, EAM content is all of the data in your EAM system.
EAM content is the fuel that powers EAM system use, outputs, analysis, reports, and key performance indicators (KPIs). The EAM software system is only as good as its content. Building complete, accurate, and timely EAM content improves system tracking providing critical information to end-users.
The EAM system is a sophisticated information delivery tool. It is built to deliver users’ information to manage their assets correctly, and it relies on EAM content to help make that happen.
Breaking Down EAM Content
EAM content can be divided into two data types; master data and transactional data.
- Master data is static. For example, the equipment master, material master, PM master, etc., are examples of master data. Master data is fixed and loaded to the system. Master data includes coding structures. For instance, problem-failure codes, work order priority codes, classifications, etc. Master data are the building blocks of the EAM system.
- Transactional data is dynamic. For example, work orders, requisitions, etc., are examples of transactional data. The system creates transactional data as part of a process. For example, a system work request can be created when a corrective maintenance issue is identified. Transactional data drives analysis and decision-making.
Master data and transactional data work together to create EAM information.
Quality EAM content means high-quality asset management information which leads to operational improvements.
For example:
- Equipment maintenance histories and failure data can be used to predict failures and reduce unplanned equipment downtime.
- MRO materials usage and criticality data can be used to right-size stocking levels and lower MRO inventory costs.
- Work order and purchase order data can be used to improve asset reliability and measure performance.
On the other hand, toxic or missing EAM content hurts EAM system reporting and increases costs.
For example:
- Inaccurate inventory on-hand quantities can lead to part shortages, overbuying, and extended equipment downtime.
- Inconsistent naming of MRO materials data will make finding parts and negotiating cost-saving purchase agreements harder.
- Incomplete equipment bills of material could cause maintenance delays and reduce the plant's ability to meet production targets.
Like Newman said on Seinfeld – “When you control the mail, you control… INFORMATION!”
The same thing can be said of EAM content. When you control your EAM content, you control information. Rich and actionable EAM content and high-performance EAM information go hand in hand.
Good EAM content can supercharge your EAM system and solve information challenges. It makes the software whole and ups EAM/CMMS ROI. Quality EAM content is the software system’s best friend.
Our EAM Library helps organizations develop high-quality EAM information. Utilize the EAM Library’s best practice content, codes, auditing, and data cleaning resources to create high-performance EAM/CMMS data.
