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GLOSSARY

What is normalized data?

DEFINITION

Normalized data has been converted from many source formats into one consistent structure, field naming and set of value conventions.

Also called: Data normalization, Standardized data

How it works

Different platforms describe the same thing differently: one returns an invoice status as PAID, another as a balance of zero, a third as a boolean. Normalization maps those into one representation, standardizes dates, currencies, decimal precision and enumerations, and resolves references between objects. In database design the word has a stricter meaning; in integrations it usually means consistent across sources.

Example

Normalized invoices from QuickBooks Online, Xero and NetSuite all return status as draft, open, paid or void, amounts as decimal strings, and dates in ISO 8601.

In integrations

On the Unify Graph, normalized fields sit next to the original record in raw, so you get consistency without losing detail. Normalization never recalculates financial values: exchange rates and totals come from the source ledger. Normalization saves every downstream consumer from re-learning each platform's quirks. It only works if it is honest: values the source does not provide should stay empty, not be guessed.

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