Data Quality
Parsing, validating, deduplicating, and standardising address data before and after geocoding. 23 articles in Data Quality.
Browse Geocoding Tutorials, Guides & Updates
Geocoding rural addresses that break normal parsers
Route-style, PO-box, and rural addresses break naive geocoders. Learn to read match granularity, handle fallbacks, and k...
Validating shipping addresses at checkout with geocoding
Use geocoding confidence scores to accept, confirm, or reject shipping addresses at checkout. Patterns, code, and failur...
Cutting failed deliveries with clean geocoded addresses
Normalise and geocode every delivery address before it hits dispatch. Batch REST API + web tool patterns that cut failed...
Address verification at loan application time: a practical guide
Verify borrower addresses at loan application time with a geocoding API. Patterns, code, failure modes, and confidence t...
Cleaning hotel inventory addresses from many suppliers
Normalise, geocode, and deduplicate hotel inventory addresses from dozens of suppliers in one pipeline. REST patterns, f...
Reverse Geocoding Accuracy: How Far Off Are Your Results?
How to measure reverse geocoding accuracy in meters: the geometry of 'nearest match,' rooftop vs interpolated, and what...
Deduplicating Geocoded Addresses: Stable Keys and Fuzzy Matching
Dedupe addresses before and after geocoding: stable hash keys, fuzzy matching, and when '123 Main St' equals '123 main s...
Address Parsing Before Geocoding: Cleaning Inputs for Better Matches
How to parse, normalize, and clean addresses before sending them to a geocoder — the preprocessing step that turns 70% m...
Geocoding Confidence Scores Explained: When to Trust, When to Reject
What accuracy_score actually means, how providers differ, and the threshold rules that survive 1M-row datasets.
Geocoding UK Addresses: Postcodes, UPRN, and Edge Cases
UK address geocoding: postcode districts, UPRN persistence, NI vs GB quirks, and Royal Mail PAF compatibility.