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Government · Master Data

One Citizen Record Across Departments

Tax, health and licensing systems each hold their own version of "this citizen" or "this business," with different identifiers and slightly different details, so cross-department work means guessing which records actually refer to the same person.

Applies toGovernment
The challenge

What stands in the way

Tax, health and licensing systems each hold their own version of "this citizen" or "this business," with different identifiers and slightly different details, so cross-department work means guessing which records actually refer to the same person.
The solution

How Scrydon solves it

An ontology defines each citizen and business as a single entity, resolved once across every source system, so departments and agents reason over one consistent identity instead of reconciling mismatched records.
In practice

How this plays out

Tax records a citizen under one identifier, health records under another, and licensing under a third, each with slightly different name spellings or addresses — so before any cross-department process can even start, someone has to work out which records actually refer to the same person.

The ontology based data platform resolves citizen and business identity once, mapping every department's records onto a single entity, so a caseworker or agent handling a cross-department request starts from one agreed identity instead of reconciling mismatched legacy records from scratch.

Explore Ontology Based Data Platform
The result
  • Cross-department processes start from one agreed identity instead of a manual matching exercise, cutting errors and delay.

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