100k+
assets cleaned
Hard Services FM · Europe
Cleaning 100,000 assets as the foundation for smarter maintenance
SPIE's asset database had grown organically across sites and systems. Pearstop cleaned and structured the full register, creating a reliable foundation for maintenance planning and lifecycle analysis.
The challenge
Asset records were spread across spreadsheets and legacy systems, with spelling errors, field mismatches, and duplicate records making analysis unreliable.
Pearstop consolidated the asset data, standardised the structure, and created a clean register that could support maintenance decisions and analysis.
Structured
analysis-ready
FM
use case
Our asset lists worked for mechanics on-site, but did not allow us to plan smart maintenance or manage bid risk in a data-driven way.
What changed?
This is the same asset data problem that shows up across hard services, FM, and infrastructure teams whenever records were built for operations rather than analysis.
Want a case study built around your data?
We can show you what the same approach would look like for your procurement or asset data.
