Data You Can Finally Trust
Pearstop automatically cleans, standardises, and enriches your operational data, procurement, assets, invoices, and more, giving your teams a single source of truth they can actually act on.
Bad data is making every decision harder than it needs to be
When your data can't be trusted, your team spends more time questioning reports than acting on them. The cost compounds every day.
- Duplicate records, missing fields, and inconsistent formatting mean your reports can never be fully trusted
- Your team spends hours each week cleaning data manually, time that should be spent on analysis and decisions
- When your data can't be trusted, digital and AI initiatives promise a lot but consistently underdeliver.
How It Works
Three steps from messy, unreliable data to a single source of truth.
Connect Your Data Sources
Connect databases, spreadsheets, and exports from any system. Pearstop ingests data in any format without custom development.
Automated Quality Engine
Pearstop detects and fixes duplicates, fills missing data, standardises formats, and flags anomalies — automatically, at scale.
Verified, Clean Output
Receive structured, validated data ready to plug directly into your BI tools, dashboards, and workflows.
Key Benefits
What changes when your data is finally clean.
Single Source of Truth
One clean, consistent dataset that every team, tool, and dashboard can rely on — no more version conflicts.
Continuous Monitoring
Automatic quality checks flag new issues before they spread — keeping your data clean over time, not just once.
Faster Reporting
Clean data means reports are produced in hours, not days. No more manual prep before every board meeting.
Better Decisions
When your data is right, your decisions are right. Build strategies on facts, not approximations.
Results That Speak for Themselves
Real outcomes from organisations that fixed their data quality with Pearstop.
Average improvement in data accuracy after Pearstop's cleaning engine processes your datasets.
Teams report up to 10x faster once they stop manually cleaning data before every reporting cycle.
Every change is logged and traceable — giving you full confidence in the integrity of your data.
"Our asset database had accumulated years of errors — spelling mistakes, wrong fields, multiple assets crammed into single rows. It worked for the engineers on-site but was completely unusable for any kind of analysis. Pearstop cleaned it up systematically and gave us a foundation we could finally build on."
Ready to Trust Your Data?
Book a 7-minute discovery call and see how quickly we can clean your most critical dataset.
Book a 7-Minute DiscoveryFrequently Asked Questions
Straight answers about how Pearstop improves procurement and financial data quality.
How does poor data quality in procurement affect spend visibility and financial reporting?
Poor data quality in procurement creates a cascade of downstream problems. Inconsistent supplier names, missing cost centres, duplicate line items, and unclassified spend categories make it impossible to produce reliable spend analytics or audit-ready financial reports. Finance teams waste significant time reconciling data manually rather than generating insight. Pearstop's AI layer cleans, standardises, and enriches ledger and procurement data automatically, normalising supplier records, filling classification gaps, and flagging anomalies, so that the data feeding your ERP, dashboards, and reporting tools is accurate from the point of ingestion.
Can Pearstop work with data from our existing ERP system?
Yes. Pearstop works with exports from SAP, Oracle, Microsoft Dynamics, and other ERP systems. You don't need to change your existing setup or connect any live systems. We take the raw data export, clean and classify it, and return it in a structured format ready to be loaded back into your ERP or reporting layer.
How does Pearstop handle duplicate supplier records?
Supplier deduplication is a core part of our process. We identify variations of the same supplier, different spellings, abbreviations, legacy names and resolve them into a single canonical record. This gives procurement and finance teams an accurate supplier count, removes inflated spend figures, and makes supplier consolidation analysis reliable for the first time.
Is this a one-off clean or an ongoing process?
Both options are available. Some clients need a one-off clean to establish a baseline, for example before a system migration or audit. Others run Pearstop as a continuous pipeline, with new procurement or financial data classified and cleaned automatically on a monthly or weekly cadence. The setup is done once; from then on it runs without manual effort.
What's the fastest way to find out if Pearstop can help us?
Book a 7-minute discovery call. We'll ask a few focused questions about your current data situation, identify where the gaps are, and give you an honest view of what's possible. No preparation needed on your side, just a short conversation to establish whether there's a fit.