Seven ways maintenance teams improved their reporting with a CMMS

Maintenance teams generate data almost every minute of the day. Every field that’s completed on a work order, maintenance request, or inspection task is a piece of information that tells the team about its equipment and processes. 

The only problem is, this data often disappears without a trace. It gets stuck in spreadsheets, binders, or filing cabinets. It’s never seen, much less understood and acted on.

This lack of visibility is crushing maintenance teams. They have to operate on hunches, guesswork, and standard information from OEM manuals. They have few, if any, metrics and KPIs to show progress and strategize with. When asked what’s improving, where money is going, or which assets are driving the most downtime, it takes days to get the answers that they’re not even confident in.

That’s what makes digitizing reporting and analytics so valuable. The right maintenance software helps teams move beyond documentation and start using data to prove ROI, improve preventive maintenance strategies, justify spending, and make smarter decisions faster.

This article explores how maintenance teams have successfully digitized their reporting with examples from the field to give you a framework to do the same at your organization.

How seven companies used a CMMS to improve their maintenance reporting

Proving maintenance performance and ROI to leadership

One of the biggest benefits of better reporting is that it helps maintenance teams prove their impact.

Maintenance leaders are often asked to justify headcount, spending, and access to equipment for preventive maintenance. Without accessible reporting, even high-performing teams can struggle to communicate results in a way that earns support. That was the case for Villages Golf and Country Club, which needed better visibility across 900 assets and a clearer way to share performance with leadership. After implementing maintenance software, the team replaced spreadsheets with dashboards that made key metrics easier to track and analyze.

They can now report on work order volume, completion ratios, and turnaround times, while also streamlining audits and generating forecasting data to support major spending decisions on aging assets.

Michaels saw a similar benefit across its distribution facilities. With clearer visibility into performance trends, Director Mike Truitt says the team can now “paint the picture with graphs.” Better data capture also improved accountability across sites.

At Cardinal Glass, Maintenance Manager Derrick Tuft used reporting to show management how many PMs were created versus completed, making maintenance performance easier to understand in real time and helping connect the team’s work to lower downtime.

Using analytics to improve PMs, labor planning, and cost control

The best maintenance data helps teams decide what to do next.

That’s the shift Hypertherm made with a CMMS. The team lacked reliable KPIs, machine-level cost visibility, and scalable reporting before maintenance software. Now, they’re using better equipment data to move toward usage-based maintenance, which has reduced over-PMing, helped them fine-tune service intervals, and improved capacity planning across sites.

Redimix had a similar experience. The team uses digital dashboards and custom databases to track OEE, MTTR, planned versus unplanned downtime, and labor-related costs. That gives leaders a clearer picture of where maintenance dollars are going and how those decisions affect performance.

Michaels also turned reporting into a planning advantage. With better data capture and easier reporting, leadership can compare sites, spot trends, and advocate for staffing based on real performance data rather than instinct alone.

Replacing manual spreadsheets with reporting people can actually use

For many teams, the biggest reporting problem is how hard that data is to use.

Before implementing a CMMS, the Public Works Department of the Cayman Islands often had to export information into Excel, sort it manually, and spend hours building reports. With a digital platform, reporting became much faster and easier, turning what used to be a time-consuming exercise into something the team could do in just a few clicks. That also improved visibility into budgeting and high-cost items.

Villages Golf and Country Club faced a similar challenge. Ryan Bell, Assistant General Manager of Public Works, wanted reporting that was easy to build, easy to understand, and useful in conversations with residents and the board. Software gave his team fast access to metrics like work order volume, completion ratios, and timing, without relying on spreadsheet-heavy workflows.

Turning machine data into maintenance action

The most advanced maintenance teams use machine data to trigger better work in the first place.

Hudsonville Ice Cream is a strong example. Before using a CMMS, machine signals existed in Ignition, but they still depended on people to watch dashboards and translate alerts into action. By connecting Ignition to MaintainX, Hudsonville made machine data part of the maintenance workflow itself. Signals can now flow directly into work orders and PMs, giving technicians one place to manage alerts, assets, and work.

Hypertherm is moving in a similar direction. The team wants to bring IoT data into its maintenance software to support usage-based PMs and more precise maintenance planning, reducing unnecessary work while extending equipment life.

Turn maintenance data into better decisions

Better reporting and analytics don’t just help maintenance teams track work. They help them run smarter operations. Across these case studies, the pattern is clear: when teams can easily capture data, visualize performance, and act on insights, they make better decisions about labor, preventive maintenance, downtime, and spend. Just as important, they can clearly show their value to leadership. The strongest maintenance programs aren’t powered by more data alone. They’re powered by data that’s accessible, actionable, and connected to the work happening every day.