How to Clean Up Outdated Facility Data Before Moving to a New FM Platform

Switching facility management platforms is disruptive enough - without carrying years of bad data across with you.  

Most facility managers inherit asset registers built up over a decade or more, often stitched together from multiple spreadsheets, old software exports, and paper records that were never properly digitised. Assets get decommissioned and stay on the register. New assets go live and never make it on. Contractors log work against the wrong equipment.  

None of this is unusual, but all of it becomes a serious problem the moment you try to migrate.

This matters because a new platform amplifies whatever you put into it. A facility management system with strong reporting, automated compliance tracking, and real-time dashboards will surface every inconsistency in your data almost immediately, often in front of the executives you're trying to impress with the new investment.  

Getting the data right before migration is what determines whether the new system builds credibility or damages it in the first month.

What Counts as Outdated Facility Data?

Outdated facility data is any asset or maintenance record that no longer reflects the true, current state of your facilities. This includes assets that have been removed, replaced, or relocated without the register being updated, condition ratings that haven't been reassessed in years, and maintenance histories with gaps where work was completed but never logged. It also includes duplicate records for the same asset, created when the same equipment was entered separately by different people or systems over time.

The common thread is a mismatch between what's recorded and what's actually true on site. Even a well-designed facility management system cannot correct for this gap on its own. It can only make decisions based on what it's told, which is why the cleanup has to happen before the data goes in, not after.

What Problems Does a Poor Migration Actually Cause?

A rushed or careless migration creates problems that are far more expensive to fix once they're embedded in a live system. The most common issues include:

• Broken reporting. Dashboards and KPIs built on inaccurate asset counts or condition data produce misleading results, undermining confidence in the platform from day one.

• Duplicate work orders and confusion. If the same asset exists as two separate records, maintenance history gets split across both, making it impossible to see the full picture.

• Compliance gaps. Missing or incorrect service dates can make it look like statutory inspections or servicing were never completed, even when they were.

• Wasted implementation time. Vendor teams and internal staff end up spending implementation weeks fixing data issues instead of configuring workflows, training users, or building reports.

Our article on conquering contractor management explains how much of this bad data originates in the field, where delayed or inconsistent reporting from contractors is one of the biggest contributors to inaccurate asset records over time.

How to Clean Up Your Facility Data Before Migration

A structured cleanup process before migration significantly reduces risk and rework later. The following sequence works well for most facility teams:

1. Consolidate every data source. Gather all spreadsheets, legacy system exports, and paper records into one place before you start assessing anything.

2. Identify and remove duplicates. Cross-check asset names, serial numbers, and locations to find records describing the same physical asset.

3. Verify assets against reality. Where possible, conduct a physical walkthrough to confirm which assets still exist, where they're located, and whether the register matches what's on site.

4. Update condition assessments. Reassess assets that haven't been rated recently, using a consistent grading scale so the data is comparable across sites. Our piece on the challenge with condition assessments covers how to build a framework that holds up across multiple assessors.

5. Fill maintenance history gaps where you can. You won't recover everything, but reconstructing key service dates for critical assets is worth the effort. Our article on considering critical assets explains how to prioritise which assets deserve this attention first.

6. Standardise formatting before import. Agree on consistent naming conventions, categories, and units of measurement so the data behaves predictably once it's in the new system.

7. Test with a sample migration. Import a small batch first, check it thoroughly against source records, and only proceed to a full migration once you're confident the process is accurate.

This process takes time, but it's considerably less time than untangling the same problems after go-live, when staff are also trying to learn a new system.

Who Should Own the Data Cleanup Process?

Data cleanup works best when it has a single accountable owner, usually the facilities or asset manager leading the migration, supported by input from site staff and contractors who know the assets firsthand. Spreading responsibility across too many people without clear ownership is one of the most common reasons cleanup projects stall or get finished inconsistently. Our article on making informed asset management decisions outlines a useful framework for prioritising this kind of work when time and resources are limited.

Turn Data Cleanup into a Stronger FM Foundation

Outdated facility data is manageable, but only if it's addressed before migration rather than during or after it.  

A new facility management system will reflect the quality of what you put into it, so the cleanup work you do beforehand is what ultimately determines whether the platform becomes a reliable operational tool or another system nobody fully trusts. Starting with smarter data puts your team ahead before implementation and system-wide rollout.  

If your organisation is preparing for a platform migration, it's worth seeing how FMI Works supports structured data import and validation from the outset. You can book a free demo to see how the process works in practice.