Maximize ROI: 11 Proven Strategies to Unlock Your EAM System’s Full Potential

It’s been a year since your plant’s Enterprise Asset Management (EAM) system went live. You followed industry best practices—hired a seasoned consultant, built an internal implementation team, documented processes, populated data, and delivered comprehensive training. Yet, key stakeholders still report missing insights, and decision‑makers are left wondering why the system isn’t delivering on its promise.

What went wrong? Is the gap due to system limitations, data quality, or user adoption? How can EAM administrators bridge the disconnect and demonstrate tangible ROI? These questions echo across every organization grappling with under‑utilized EAM platforms.

Even if the implementation didn’t go as planned, you can systematically uncover and address the root causes. By revisiting core EAM functions—maintenance, reliability, and materials—and aligning them with real‑world data needs, you’ll restore confidence in the platform and secure ongoing support.

Below are 11 critical actions, presented in no particular order, that should anchor your corrective plan.

1) Define the decision context and data requirements. Identify the business decisions that the EAM must inform, then capture the specific data formats and metrics needed. Document these requirements so everyone—from IT to operations—understands the shared objective.

2) Audit the implementation scope. Review the original project plan to confirm every deliverable was executed. Check whether any high‑priority work was compromised in favor of other tasks and verify the consultant’s responsibilities were met.

3) Ensure the system aligns with plant processes. A successful EAM reflects existing workflows, not the other way around. Re‑examine your documented processes and confirm the system supports them without forcing costly re‑engineering.

4) Evaluate the user manual. The manual should outline role‑specific procedures that capture data essential for decision making. Verify that users follow these procedures and that the manual remains current.

5) Verify training coverage. Confirm every role attended role‑specific training and that the curriculum was built from the user manual. Conduct refresher sessions where gaps are identified.

6) Scrutinize data collection tools. Assess spreadsheets, databases, and vendor datasets that fed into the EAM. Validate completeness of key asset, inventory, maintenance, and personnel records and ensure upload processes were thorough.

7) Review system codes and classifications. Check that asset codes, work‑order types, and other custom codes were entered correctly and are being used consistently to support decision metrics.

8) Map standard data fields. Examine each module’s built‑in fields to confirm they capture the information you need. If gaps exist, determine whether custom fields can be added and documented.

9) Assess module data quality. For assets, inventory, PM schedules, work orders, and history logs, confirm that the required data is populated and that entry procedures are followed.

10) Audit standard reports. Cross‑reference the data fields in the out‑of‑the‑box reports with management’s reporting needs. If mismatches exist, note which fields are missing.

11) Leverage IT to build custom reports. Work with your IT team to extract data directly from the EAM database. Use these custom reports to test whether the necessary information is being captured and formatted correctly. Decide whether to standardize these reports or keep them as ad‑hoc solutions.

Implementing these actions will help you identify gaps—whether they lie in data, processes, or people—and close them. Document every finding, update training, and communicate changes across the organization. Consistent follow‑up ensures the EAM evolves from a costly investment into a strategic asset that delivers measurable ROI.

Remember, an EAM system is only as effective as the discipline it commands. It requires rigorous process alignment, ongoing training, and proactive feedback loops to drive continuous improvement.

About the author:
Mike Willard, CMRP, is a senior consultant at Life Cycle Engineering (LCE) with over 30 years of expertise in maintenance and reliability. Mike has partnered with industrial, facilities, and government clients to embed reliability practices across work control, scheduling, reliability engineering, materials management, operator care, and EAM systems. Contact Mike at mwillard@LCE.com. Learn more about LCE at www.LCE.com.