Product

Entity Resolution

One customer in six systems becomes one golden record - automatic matching, automatic merging, no manual rules to maintain.

The Challenge

Same Customer, Six Versions

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Duplicate everywhere
"Acme Inc." in your CRM is "Acme, Incorporated" in billing and "ACME" in support. Every system thinks it's a different company.
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Brittle match rules
Hand-coded matching logic breaks the moment naming conventions drift. Maintaining the rule set becomes a full-time job.
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Decisions on partial views
Sales doesn't know the customer is unhappy. Support doesn't know they're in renewal. Every team sees a slice and acts on it.
How DataSpec Helps

One Record, Every System

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Automatic matching
ML-powered resolution links records across systems using fuzzy attributes, identifiers, and behavioral signals. No hand-tuned rules required.
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Golden records
A single canonical entity per customer, supplier, or product - with full lineage back to the source records that built it.
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Human-in-the-loop review
Low-confidence matches surface for analyst review with a clean interface. Approve, reject, or merge with one click - the model learns from every choice.
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We had forty thousand "unique" customers in our CRM. After entity resolution, we had twenty-three thousand - and we finally knew who they actually were.

Renée Castellanos
RevOps Director · Pemberton Industrial Supply

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