Country Data Improvement Program
Loqate have created a unique process that will bring together and combine multiple expert sources to create one best record in the address and location hierarchy. We call this process the Persistent Data Hierarchy, or PDH.
A country dataset improved using the PDH process enhances reliability, improves the speed and quality of its global location data, creates consistency, adds normalization, and resolves data errors.
How it works
- Loqate will scout and evaluate the best sources for address and location data
- Using our home-grown, expert system, the data is scanned and mapped into a standardized hierarchy
- The completed dataset will then be exported for use across all Loqate products
Benefits of a single hierarchy
The PDH process benefits customers in two ways: completeness and coverage. By blending multiple sources, the improvement process will complete missing fields, resolve component-level conflicts, and bring consistency and alignment across the regional hierarchy.
For example, one source may state a value as a city, whereas another will identify it as a Village or smaller regional boundary. The PDH software will resolve this, and also enrich or fill any gaps that may be unique to each source.
Coverage is is measured by the number of delivery-point records, which is maximized by having more sources. This is dependent on the quality of data already available in the market for each country.
Listed below are all countries that have completed the country improvement process – please click on a country name for more details. Beyond this list, Loqate continue to provide address verification and geocoding for all other countries.
|Country||Date PDH Completed||Verification Level|
|UNITED ARAB EMIRATES||2019-07||L4|
|KOREA, REPUBLIC OF||2019-04||L4|
|ISLE OF MAN||2019-04||L5|
Country improvement statistics for each of the new countries in this release will be available on the website shortly.
The uplift range describes the improvements made by the PDH process. For example, you may see a record returning a level 2 (locality level) prior to PDH and a level 4 (premise level) after PDH; these types of changes demonstrate a positive improvement due to better alignment and cleaner structures in the reference data.
In cases where a record does the opposite, the enhanced dataset may be resolving a previously incorrect or false result.
These changes are dependent on the amount of sample data available.
Coverage & Completeness
For countries using existing data sources, these are unlikely to show any big changes to the total number of deliverable records. Many improvements in datasets will be based around field/value alignments and corrections to the geography hierarchy.