When it comes to verifying addresses, the quality of your results depends on the quality of the reference sources used – and even though some come close, no single data source can give you complete address coverage. Our OptiSource System™ sources the best datasets available from multiple suppliers in one system to give you the very best, utmost accurate results.
For Australia there are two main data sources that DataTools use- the PAF and GNAF.
The PAF is Australia’s best file of verified deliverable addresses. It contains every deliverable address point in Australia – currently almost 15 million addresses.
It includes not only street addresses but unit information and postal addresses such as PO Boxes.
Compiled and maintained by Australia Post, the PAF was designed primarily to assist them with the delivery of mail. Data is sourced from local, state and territory government land records and Commonwealth government agencies. The quality is extremely high. Data is sourced from local government and then verified by Posties delivering the mail.
The GNAF is Australia’s best file of geocoded addresses. It contains just over 15 million Australian addresses geocoded to different levels of accuracy. The GNAF data is compiled and maintained by Geoscape Australia using data sourced from Australian state and territory government land records and Commonwealth government agencies. The quality is extremely high. While the PAF is focused on deliverable addresses, the GNAF contains official addresses and “unofficial” addresses not recognised or recorded by an authoritative body such as a land agency. These include ATMs, tree plantations, reserves and substations.
For New Zealand there are three main data sources that DataTools use- the PAF, NZAD and LINZ.
The PAF is New Zealand’s best file of verified addresses deliverable by New Zealand Post.
The NZAD dataset contains all addresses in New Zealand Post’s National Postal Address Database.
The LINZ dataset is New Zealand’s best file of geocoded addresses. The LINZ contains just over 2 million New Zealand addresses geocoded to different levels of accuracy.
This dataset has been sourced from LINZ’s Address Information Management System (AIMS), a centralised database for the management of national addresses, including for electoral purposes.
or everywhere else in the world DataTools partners with the leading data quality organisations in specific countries to deliver address verification for more than 245 countries and territories.
Definitely. Approximately 12.5 million address appear in both the PAF and GNAF datasets. The PAF contains almost 2.5 million additional addresses and the GNAF contains just over 2.7 million additional addresses, but these additional addresses differ due to reasons such as timing of notification, verification and type of address included. Between both the PAF and GNAF there is approximately 17.5 million addresses.
The primary purpose for the GNAF is to identify for mapping purposes where an address might be. As you’ll see from the examples below, even though the address found in the GNAF is close to the location you might expect the address to be, it’s often not an address that would be considered correct for deliveries which is a prerequisite for it to appear in the PAF.
About 80% of these addresses are delivery addresses that only Australia Post and StarTrack can deliver to. These include PO Boxes, GPO Boxes, Locked Bags and Private Bags addresses for letter delivery and Australia Post’s 24/7 Parcel Collection service deliveries. The remaining 20% include additional verified street addresses.
Using artificial intelligence, the Human Touch™ algorithms are continually learning addresses and every possible address format. With the inclusion of your usual address interpretation methodologies such as intelligent location awareness; fuzzy logic; phonetics; bordering localities etc – DataTools is able to deliver the most advanced address quality solution available. This means we deliver up to 10% fewer exceptions, with 10% fewer manual verifications for 10% better data.
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Copyright © DataTools Pty Ltd. All Rights Reserved. Privacy Policy | Modern Slavery Statement | Terms & Conditions
Copyright © DataTools Pty Ltd. All Rights Reserved. Privacy Policy | Modern Slavery Statement | Terms & Conditions