Provenance context
Review source attribution, update dates, versions, and applicable validation status.
Make every location match explainable.
source context, validation status, versions, duplicate detection, hierarchy checks, and correction workflows.
The challenge
Clean output is not enough if teams cannot understand how it was produced.
AtlasLocale is designed to expose the metadata needed to review a match, manage a release, and investigate a correction without relying on opaque claims.
How AtlasLocale helps
Practical capability, built around clear data.
AtlasLocale is designed to make geographic complexity understandable to the people building and operating global systems.
Quality controls
Detect duplicates, invalid hierarchies, and conflicting codes as data moves through the pipeline.
Correction lifecycle
Track reported issues, review decisions, and change history across releases.
Common uses
Where this capability fits.
01Data stewardship
02Regulated workflows
03Import QA
04Release management
Frequently asked questions
Clear answers for teams evaluating AtlasLocale.
What does Location Data Quality include?
The page outlines the data, workflows, and capabilities for location data quality. Exact coverage varies by country and release.
Is Location Data Quality available now?
Available according to the coverage and plan details shown. Start with the Trial or contact AtlasLocale to discuss coverage, formats, and a suitable plan.
How is data versioned?
AtlasLocale publishes release identifiers, update dates, source metadata, and change notes so teams can manage updates deliberately.
Build your next location-aware experience on trusted global data.
Create an account and receive 100 evaluation credits. Payment-method verification is required, but the Trial plan is not charged.