Most organizations do not decide to replace their CMMS or facilities management system overnight. The decision builds slowly.
It starts with friction. Reports take longer than they should. Data does not quite match across systems. Teams begin relying on manual workarounds just to keep operations moving. Over time, those inefficiencies compound, making it harder to manage assets, space, and workplace services at scale.
Eventually, the question becomes clear. Is the system still supporting the business, or is it limiting what teams can do?
For IT leaders, that realization leads to a more complex challenge. If we move to a modern platform, what happens to all the data we already have?
Key takeaways
- Migrating from a legacy CMMS or FM system is an opportunity to improve both technology and data quality
- Organizations that focus on data relevance rather than data volume can reduce complexity, improve system performance, and unlock more value from their investment
- The most important decision is not what you bring with you. It is what you choose to leave behind
Why legacy CMMS and FM systems create data and visibility challenges
Legacy systems were not built for the way organizations operate today. They often function as isolated tools, with limited ability to connect data across assets, workplaces, and people.
This lack of connection creates real operational problems. Facilities teams may not have a clear view of asset performance. Workplace leaders struggle to understand how space is actually being used. IT teams spend time maintaining integrations instead of enabling innovation.
Recent industry research highlights just how widespread this issue has become. According to Eptura’s 2025 Workplace Index, enterprises are not short on technology — they are overwhelmed by disconnected systems. Two‑thirds of organizations use between 6 and 40 separate workplace solutions, a level of fragmentation that directly impedes informed decision‑making. As a result, 50% of businesses rely on an average of 17 standalone technologies, and 37% require 11 or more full‑time employees just to collate, analyze, and report on operational data, undermining confidence in data accuracy and reliability.
When systems cannot deliver reliable insights, even basic decisions become harder than they need to be.
The hidden risk of migrating bad data into a new system
Once migration becomes a priority, attention quickly turns to data. Years of records feel too valuable to leave behind.
But volume does not equal quality.
Legacy systems often contain duplicate asset records, outdated maintenance histories, and inconsistent naming conventions. Some data reflects processes that no longer exist. Other data was never structured correctly to begin with.
This creates a hidden risk. If all of that information is moved into a new platform without evaluation, the same issues follow. Reporting remains unreliable. Automation breaks down. Users lose trust in the system.
This is why many organizations find themselves stuck. They invest in new technology but do not see meaningful improvement.
The problem was never just the system. It was the data inside it.
How to evaluate legacy data before migration
The most successful migrations begin with a shift in thinking. Instead of asking how to move everything, IT teams begin by asking what is actually worth keeping.
This requires a closer look at how data is used today.
Information that supports active maintenance programs, compliance requirements, and ongoing reporting typically holds strong value. It reflects how the organization currently operates.
Other data tells a different story. Old work orders tied to decommissioned assets, inconsistent records, or unused fields often add complexity without delivering insight.
As teams go through this process, a pattern becomes clear. The goal is not to preserve history for its own sake. The goal is to preserve data that improves decision-making.
Organizations that take the time to audit their data before migration often find that a significant portion can be left behind without impact.
Why clean, connected data matters more than complete data
Modern workplace platforms are designed to provide visibility across operations. They connect data from multiple sources to support better planning, faster service delivery, and more informed decision-making.
But those outcomes depend on the quality of the data being used.
Workplace Index research shows that organizations with higher confidence in their data are significantly more likely to report improvements in efficiency, space utilization, and employee experience. The difference is not just technology. It is the reliability and structure of the data behind it.
When data is clean and connected, teams can trust what they see. They can automate processes with confidence. They can move from reactive work to proactive planning.
When it is not, even advanced platforms struggle to deliver value.
Why migration should be treated as a system reset
Migration is often approached as a technical task. Data is exported, transformed, and imported into a new system.
In reality, it is an opportunity to reset how the organization manages information.
Modern platforms are built to unify asset, space, and operational data into a single environment. This allows teams to move beyond siloed workflows and gain a more complete view of the workplace.
To support that shift, data often needs to be restructured. Naming conventions are standardized. Redundant fields are removed. Information is aligned with current workflows rather than legacy processes.
Organizations that take this approach do more than implement a new system. They create a foundation that supports automation, reporting, and long-term scalability.
Common migration challenges IT teams face
| Migration Challenge | How Modern Platforms Solve It |
|---|---|
| Lack of data consistency | Modern platforms create a single source of truth by standardizing, governing, and reconciling data across departments, eliminating duplicate or conflicting records. |
| Limited visibility | Information from disconnected legacy systems is unified, giving IT teams a holistic view of assets, spaces, and services so they can identify patterns and make informed decisions. |
| Complex integrations | Newer platforms are built with modern APIs and native connectors, reducing the need for custom integrations and improving data flow across systems. |
| Low user trust | By prioritizing data accuracy, real‑time updates, and intuitive user interfaces, modern platforms rebuild confidence and encourage widespread system adoption. |
Frequently asked questions
By Jonathan Davis
As a content creator at Eptura, Jonathan Davis covers asset management, maintenance software, and SaaS solutions, delivering thought leadership with actionable insights across industries such as fleet, manufacturing, healthcare, and hospitality. Jonathan’s writing focuses on topics to help enterprises optimize their operations, including building lifecycle management, digital twins, BIM for facility management, and preventive and predictive maintenance strategies. With a master's degree in journalism and a diverse background that includes writing textbooks, editing video game dialogue, and teaching English as a foreign language, Jonathan brings a versatile perspective to his content creation.
