Solutions

Turn messy data into decisions

Pearstop delivers six data integrity solutions for technical industries. Each one targets a specific data problem and every one is built to protect your margins.

Six Solutions. One Goal.

Pearstop delivers six data quality solutions for technical industries. Each one targets a specific operational data problem, built for hard services, construction, and manufacturing.

01

Data Quality

Automatically clean and standardise your data at scale. Eliminate inconsistencies, fill gaps, and build a single source of truth your team can trust.

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03

UNSPSC

Auto-assign up to 95% of spend data using the United Nations Standard Products and Services Code. Industry-standard classification with zero manual tagging.

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04

Asset Management

Transform fragmented asset registers into trusted, analysable datasets. Reduce ad-hoc maintenance and enable data-driven risk management.

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05

Fabric Ready

Prepare your operational data for Microsoft Fabric migration. Clean, structured data that lands cleanly from day one. No rework after migration.

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06

AI Readiness

Build the data foundation your AI initiatives need. Organisations with governed, structured data are twice as likely to achieve measurable AI ROI within 12 months.

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One engine. Every data problem.

Whether it is procurement spend, asset registers, or ledger data, Pearstop standardises, categorises, and enriches your data automatically. The output plugs straight into your existing tools.

  • Works with your existing BI tools, ERP, and dashboards
  • No lengthy implementation - results in days, not months
  • Scales from one dataset to your entire data estate
  • Built specifically for technical industries and FM

Invoices, asset registers, ledger exports, supplier lists - from any format, any system. SAP, Oracle, ERP exports, spreadsheets. If you can export it, we can work with it.

Automated cleaning, standardisation, and categorisation. Up to 95% accuracy, no manual effort.

Trusted data that plugs into your BI tools, informs your bids, and protects your margins.

What data quality problems does Pearstop solve?

Hard services, construction, infrastructure, and manufacturing companies share a common challenge: operational data that is decentralised, inconsistent, and difficult to use across teams and systems. Poor procurement data quality, unreliable asset registers, and unclassified spend are the most common blockers to category management, predictive maintenance, and digital transformation. Pearstop specialises in cleaning and structuring this operational data so technical businesses can act on it.

Not sure which solution you need?

Book a 7-minute discovery call. We will identify exactly which data problem is costing you the most - and show you how to fix it.