Cleaning Address Databases

Addresses which are Dirty require Data Cleaning

Dirty addresses are one of the many tasks that Spotless Data's Machine Learning Filters can seamlessly clean.

Address databases are often badly formatted with duplicate addresses, different spellings: sometimes because of bad data entry, and sometimes because customers are deliberately entering their address incorrectly to take advantage of a new customer offer.

At Spotless we provide automatic address cleaning based on comparing addresses to known address fields. This can either be a postcode database covering an entire country or for markets without strong postcodes using generated lists of cities and towns.

If you already have access to a postcode database you can use it to create your own private reference run to ensure data validation of addresses or rely on other user-generated solutionss on our platform, thus ensuring that your address databases have data integrity.

    Data cleaning has never been easier thanks to Spotless Data's Machine Learning Filters. You can also check out our pricing and our Subscription Packages here.

    If your data quality is an issue or you know that you have known sources of dirty data but your files are just too big, and the problems too numerous to be able to fix manually please do log in and try now