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RAEKFirstPartyData

Data Normalization

Data normalization is the process of standardizing data into consistent formats and values, such as making phone numbers, emails, and addresses uniform. It is essential for matching records accurately during identity resolution and for clean, reliable analytics.

Two records can describe the same person yet fail to match because one stores a phone number with dashes and another without. Normalization removes those superficial differences.

It is foundational plumbing: without consistent field formats, deterministic matching misses real matches and your unified view stays fragmented.

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