EAM content is the lifeblood of the EAM software system. It helps drive the creation of rich and actionable asset management information. This information can then be used to drive informed business decisions – actions that lead to significant improvements in asset reliability and lower MRO costs.
EAM content is one key to making that happen. EAM content consists of things such as:
- system coding structures
- work-order data
- naming conventions
- MRO materials usage data
- preventative maintenance schedules
- purchasing histories
Simply put, EAM content is all of the data in your EAM system.
Enterprise asset management content is the fuel that powers EAM system use, outputs, analysis, reports, and key performance indicators (KPIs). An EAM software system is only as good as the content that is driving it. Building complete, accurate, and timely EAM content improves system tracking, reporting, and analysis.
An EAM system is a sophisticated information delivery tool. It is built to deliver the information users need to properly manage their assets. It relies on EAM content to help make that happen.
An EAM software system
is only as good as the
content that’s driving it.
Breaking Down EAM Content
EAM content can be divided into two data types: master data and transactional data.
Master data is static. It includes things such as the equipment master, the material master, the PM master, and any other data that is loaded into the system. Master data also includes coding structures such as problem-failure codes, work-order priority codes, and classifications. Master data forms the building blocks of the EAM system. Master data drives system use and KPI calculations, and provides critical tracking information to end users.
Transactional data is dynamic. Transactional data is created by the EAM system. It includes things such as work orders, purchase requisitions, MRO materials usage, and more. Transactional data is generated by the EAM system as part of a process – for example, a work request being 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
Quality EAM content means high-quality asset management information. This leads to operational improvements, such as:
- Equipment maintenance histories and failure data that can be used to predict failures and reduce unplanned equipment downtime.
- MRO materials usage and criticality data that can be used to lower MRO inventory costs.
- Work order and purchase order data that can be used to improve asset reliability and to measure performance.
On the other hand, bad EAM content hurts EAM system reporting. This leads to increased costs, due to things such as:
- Inaccurate inventory of on-hand quantities that can lead to part shortages and extend equipment downtime.
- Toxic MRO materials data that can make it harder to find parts and negotiate cost-saving purchase agreements.
- Incomplete bills of material that can cause maintenance delays and reduce the plant’s ability to meet production targets.
Rich and actionable EAM content drives quality EAM information. Without good content, information will suffer and the EAM software system will underperform.
Complete, accurate, and timely EAM content drives quality EAM information.
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. And high-quality asset management information is what every asset-intensive operation needs. EAM content is the software’s best friend. It makes the software whole and helps it accomplish its purpose.
In the next series of blogs, we will continue to break down EAM content. We will peel back that onion to expose best practices and reveal how the right content can supercharge your EAM system and solve information challenges.
We deliver EAM content products and services to help organizations develop high performance EAM content. If we can help you improve your data, please send us an email at email@example.com.