It helps to better manage data and makes for easier storage. Parsing takes unstructured information and turns it into usable data. It allows for address verification, normalization, and de-duplication. It also helps with cleaning the data and creating unique identifiers.
Address Parsing is a process of breaking down an address into its components, and then ensuring that each component is standardized. It also corrects spellings, abbreviations, and casing. The address is then able to be read and used by your system.
There are many different technologies and tools that can be used for address parsing. The one that is best for your project depends on the level of accuracy and complexity you need. For example, if you are trying to verify an address for a business, you might need more accurate results than if you were simply parsing an address for a mailing list. You will need to look for a technology that can identify and categorize address elements and non-address elements as well as verify that each element matches the format of the country in which it belongs.
For example, in the United States, an address is written as “12188 N Meridian St Carmel, IN 46032.” This can be broken down into Firstline (the number and street name), LastLine (address number and city), and PreLine (directional modifiers like North, East, or West). This would need to be parsed to be sure that each part of the address was correctly identified and standardized before it could be validated for deliverability.