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.
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.
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.
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.
Cross-department processes start from one agreed identity instead of a manual matching exercise, cutting errors and delay.
See how this works for your organisation
Let's map this government use case onto your environment, your data and your sovereignty requirements.
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