Data Quality

Multi-Site Infrastructure Contracts and the Classification Problem Nobody Talks About

Infrastructure contracts spanning multiple sites and multiple contractors generate spend data in as many formats as there are suppliers. Consistent classification is the only way to see the whole picture.

Data Quality26 June 20265 min read

Quick answer: A multi-site infrastructure contract can involve a dozen contractors, each invoicing in their own format, against their own local cost codes. Without one consistent classification layer sitting above all of it, there's no way to see total spend by category across the whole programme, only fragments per site that never add up to a usable answer.

Why fragmentation is the default state

Each contractor on each site has their own systems, their own cost coding, and their own way of describing the same work. Nobody designed this fragmentation on purpose, it's just what happens when a programme scales across sites without a shared data standard sitting above the individual contracts.

Why site-level reporting isn't enough

You can get a clean report from any single site. What you usually can't get is a clean answer to "how much are we spending on category X across the whole programme," because that answer requires classifying every site's data the same way first, not just reporting each one well individually.

What programme-level classification actually enables

Once every contractor's spend is classified against one shared taxonomy, programme leadership can finally see total cost by category across every site, spot which contractors are priced out of line with the rest, and negotiate future work from a position of real, portfolio-wide evidence.

Pearstop applies one consistent classification taxonomy across every contractor and site in a programme, so programme-level questions get programme-level answers, not a pile of individually accurate but uncombinable site reports.

Stephanie Wiechers

Stephanie Wiechers

CEO & Co-founder, Pearstop

Stephanie leads Pearstop's go-to-market and strategic direction. She works directly with procurement and FM leaders across Europe to understand how data quality affects margins, contracts, and AI readiness.

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