Data Standardization
Data standardization rewrites field values to a common format — title case, country codes, normalized phone numbers — so the same logical value reads the same everywhere.
What is data standardization?
Data standardization is the application of consistent format rules across a dataset. It overlaps with normalization but is broader — covering casing, whitespace, abbreviations, controlled vocabularies, and unit standardization (USD vs. dollars, MM vs. millions).
Why it matters
- Without it, "California," "CA," and "Calif." are three different segments
- Reports under-count or double-count silently
- AI features see noise instead of signal
Common standardizations
- Names: trim whitespace, collapse double spaces, title case
- Country/region: ISO codes
- Phone: E.164
- URL: lowercase host, strip trailing slash, normalize protocol
- Currency: ISO code + numeric value
How TexAu helps
Apply standardization rules inside the workflow before push — every record gets the same treatment so downstream tools see clean, consistent values.
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