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DQYara · Data Quality Lead
Entity resolution

Four records, three systems — one customer.

Reporting is a mess because the same customer appears as ‘Acme Corporation’, ‘ACME Corp’, and a bare tax ID across systems. Yara needs them resolved into one entity, reliably.

The reality today

The same entity, many masks

Spelling drift

Names vary by system, team, and decade.

Split history

One relationship is scattered across records that never join.

Bad reporting

Counts and rollups are wrong because entities are double-counted.

How the system works

Variants resolved into one entity

“Acme Corporation”CRM“ACME Corp”contractstax-ID 55-1234567financeacme.comemail domainOne customerentity4 records · 3 systems
See it in the product

Entities resolved across spellings and systems

Knowledge graph

One canonical copy, every version linked

The same contract living in SharePoint, Box, and a deal room collapses into a single canonical copy. Version history is reconstructed across systems newest-first, and entities are resolved across spellings — so “Acme Corporation,” “ACME Corp,” and a tax ID become one customer, not four conflicting records.

Fileport product — One canonical copy, every version linked
What happens, step by step

From problem to proof

1

Gather mentions

All references to an entity are collected across connected systems.

2

Resolve variants

Spellings, abbreviations, domains, and IDs are matched to one entity.

3

Link the records

Documents and relationships attach to the single resolved entity.

4

Feed clean data downstream

Reporting and AI answers see one customer, not four.

Why it lands

What Yara fixes upstream

1
entity, many aliases
Cross-system
resolution
Cleaner
every downstream report
FAQ

Common questions

What signals are used to resolve entities?

Name variants, abbreviations, email domains, and identifiers like tax IDs across systems.

Does this improve AI answers?

Yes — grounded answers reference one resolved entity instead of fragments.

Is the resolution visible?

Yes, the knowledge graph shows the resolved entity and its contributing records.

Related reading

Keep exploring

See this on your own data.

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