Typically, you have an existing source of truth. For example, a solar installer will have data on the location of solar array installations, which is sourced from smart meters, government, utility installers, and so on. These data sources are infrequently updated, or gathered just as a one-off manual effort. To refine this data set, you can overlay the existing data set with AI data, your second source of truth.
It is very useful to have two different sources of truth with different perspectives. Comparisons are useful because:
- Confidence in the data is high where both sources match.
- Aerial image features can highlight obvious errors in the existing data, potentially allowing significant quality improvements, or identification of causes of error in your existing processes. We've often found customers surprised at the errors in their own data that are highlighted when they compare it with ours.
- Your existing source of truth may highlight areas where our aerial imagery-derived features are incorrect. They will typically be low confidence results, which can be ignored.
How do I know which data is correct?
When you have two sources of truth with a mismatch between the sets, it is critical to identify the correct set. Our AI parcel data provides you with a confidence score that represents how confident our AI model is about the accuracy of the data. A high confidence score indicates a highly confident (accurate) match that is very unlikely to be incorrect. You can use what you know about your own data, and decide when to override it with our data. For more information, see Confidence Score.