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Data & AI·9 min read

Entity resolution: how to unify your customer data

What entity resolution is, why it matters and how Funneld applies it for a single, clean record.

Data & AI// DATA & AI

How many times does the same customer appear in your database under three different names? Entity resolution ends that chaos, unifying people and companies into a single clean record. It is the silent foundation of good data.

What entity resolution is

It is the process of identifying and unifying records that refer to the same person or company, even if written differently or coming from different sources.

Why it matters

  • Removes duplicates that inflate your base and CRM.
  • Gives a single view of each customer.
  • Improves scoring: you cannot score duplicated data well.
  • Avoids contact and measurement errors.

How Funneld does it

In the Funneld pipeline, entity resolution happens before enrichment and scoring: first a single, clean record, then context and score. That order is what makes the final data reliable.

Recommended resource
Funneld — Data mining & business intelligence
Proprietary platform, +40 data providers and AI scoring. The data engine that turns market signals into commercial opportunities.
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Key takeaways
  • Entity resolution unifies records of the same customer.
  • It removes duplicates and gives a single view.
  • Funneld applies it before enriching and scoring.

Clean, unified data.

Receive leads with no duplicates and resolved identity. Start with a trial.

DN
David Núñez
Data engineer

Writes about data mining, enrichment, AI scoring and Data as a Service. Explains how a good lead is born before it reaches your CRM.