Guide
What is semantic schema analysis?
Semantic schema analysis asks whether fields and objects in different systems represent the same business concept. It looks beyond names, because fields with similar names can mean different things and fields with different names can mean the same thing.
Why isn't matching field names enough?
A field called status in one system might describe payment state; in another it describes whether an account is open. Meanwhile cust_ref and external_customer_ref might hold exactly the same value. Name matching alone produces confident, wrong mappings.
What evidence helps?
Useful signals include data types, relationships between objects, identifiers shared across systems and plain-language descriptions of what an object represents. In Neuroplastiq, each proposed entity carries a definition, and recommendations explain why they were made, for example that two objects share user and purchase identifiers.
Where does human review fit?
Analysis produces proposals, not decisions. Reviewers implement or dismiss each recommendation, and anything that needs business judgement is flagged for review.
Related guides
Content owner: Gareth Sutton. Last reviewed .