Why Cleanse Your Data
Reduce Costs
Data decays at around 20% per year, with additional premium datasets such as UPRNs, Not Yet Built, Multiple Residence and Rooftop Coordinates, you'll hold a more precise and detailed view of your customers
GDPR Compliant
It is essential that your data is compliant with the data protection principles outlined in the GDPR Regulation. Cleansing your address database will ensure all records are correctly formatted, accurate and up-to-date
Increase Database Accuracy
Save time and the cost of manually fixing your address records by letting us cleanse your database. Our specialists will provide you with a free Data Report to assess the results of the matched records. View our Address Cleanse guide for further details
Cleanse your Data
Customer experience, reporting and metrics are all built with the foundation of data quality
That's why you should ensure that your data is as accurate as possible
Address Cleanse ensures your customer data is up-to-date and compliant. We can help improve the accuracy of your data to help meet regulatory requirements
The cleaner your data, the more you'll be able to improve your customer experience, engagement and loyalty. It's your most valuable business asset
- Talk with our team
Improve the Data Quality in Your Database
Our address specialists verify your existing database against official data sources and return updated and accurate results. We also use machine learning AI and natural language processing to resolve errors and identify addresses more efficiently.
Cleanse and enhance your address records with UPRNs, Rooftop Geolocations and additional authoritative datasets
Sample Address: 17 Greenend Road, London
Address Line One | 17 Greenend Road |
Address Line Two | |
Address Line Three | |
Town or City | London |
Postcode | W4 1AP |
UPRN | 12109887 |
UDPRN | 25804522 |
Longitude | -0.2564509 |
Latitude | 51.5026123 |
Postcode Inward | 1AP |
Postcode Outward | W4 |
Dependant Locality | |
Double Dependant Locality | |
Thoroughfare | Greenend Road |
Dependant Thoroughfare | |
Building Number | 17 |
Building Name | |
Sub Building Name | |
PO Box | |
Department Name | |
Organisation Name | |
UMPRN | |
Postcode Type | S |
Su Organisation Indicator | |
Delivery Point Suffix | 1A |
Premise | 17 |
Eastings | 521112 |
Northings | 179627 |
Country | England |
Traditional County | Greater London |
Administrative County | |
Postal County | London |
County | London |
District | Ealing |
Ward | Southfield |
Dataset | paf |
ID | paf_25804522 |
Country Iso Code (3) | GBR |
Country ISO Code (2) | GB |
County Code | |
Language | en |