When it comes to verifying addresses and assigning rooftop-precise latitude and longitude coordinates, there are a lot of technical processes that are happening behind the scenes. Understanding these processes and what to look for in the resulting data is crucial to identify use cases that would benefit from geocoding.
One example is a telecommunications company that uses rooftop geocodes to understand if their new network upgrades will reach customers’ homes, office buildings, or other structures rather than empty land and parking lots. This helps them improve their product and service offerings by directing signals to the right places instead of the wrong ones.
The quality of the input address data can significantly impact the accuracy of the geocoding results. Using an incorrectly configured API that fails to detect errors in address parsing, fuzziness, or reference data can lead to millions of dollars in losses annually for companies like delivery services and insurance underwriters that rely on geocodes to optimize their operations and make decisions for address verification.
To avoid this problem, you can configure your geocoding API to prefer results from specific regions by adding ®ion=country code> to the end of the request. This will produce better results and reduce the number of false positives that could lead to costly mistakes. Similarly, you can also configure your geocoding API to flag results that are only partial matches by selecting the option to include only the matched locations in the Pending Cases screen.
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