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.
Explore solution →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.
Pearstop delivers six data quality solutions for technical industries. Each one targets a specific operational data problem, built for hard services, construction, and manufacturing.
Automatically clean and standardise your data at scale. Eliminate inconsistencies, fill gaps, and build a single source of truth your team can trust.
Explore solution →Create a credible spend baseline from messy invoice and supplier databases. Automated categorisation eliminates incomplete data with 95% less manual effort.
Explore solution →Auto-assign up to 95% of spend data using the United Nations Standard Products and Services Code. Industry-standard classification with zero manual tagging.
Explore solution →Transform fragmented asset registers into trusted, analysable datasets. Reduce ad-hoc maintenance and enable data-driven risk management.
Explore solution →Prepare your operational data for Microsoft Fabric migration. Clean, structured data that lands cleanly from day one. No rework after migration.
Explore solution →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.
Explore solution →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.
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.
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.
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.