// Service

Record Matching & Deduplication

Your vendor list, customer registry, or entity database has grown organically. The same real-world record shows up under five different names with different capitalization, punctuation, and typos. Standard Excel tools cannot group them reliably.

I build custom matching tools that find those groups automatically, score each match by confidence, and produce a review-ready cluster report. Your analysts sign off on the canonical version. The tool generates the mapping table back to your system of record.

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What you get

  • A matching tool tuned to your specific data shape and naming conventions
  • Configurable similarity thresholds for different record types
  • Cluster review interface so analysts can verify or override the tool's decisions
  • Mapping table output in the exact format your system of record expects
  • Changelog documenting every merge, split, and exception

Works on any record type

Vendors. Customers. Products. Legal entities. Any dataset where the same thing appears under multiple strings. The matching engine does not care about domain. It cares about the shape of the variation, which gets tuned during setup.

Reference tool

See the Vendor Deduplication Tool for a concrete example of the output this service produces. Your version gets tuned for your data and your review workflow.

Pricing

Project-based pricing starting at $200. Scope and cost locked in writing before work begins. Matching projects typically finish in one to two weeks depending on data complexity.

Ready to clean up the list?

Send a representative sample of the records and the reference data they should match against. Quote comes back same day.

Describe your problem