I hope this helps everyone in understanding the distinct differences of opinion between SFI and NEA. Hope you all enjoy Christmas and new year celebrations.
SFI ARE 275% MORE ACCURATE THAN NEA
0.20m (SFI) v 0.75m (NEA)
https://support.nearmap.com/hc/en-u...-of-Nearmap-imagery-and-how-is-it-determined-
https://www.spookfish.com/pricing/compare-plans
Accuracy describes how closely a dataset’s coordinates compare to the actual location and helps in accurately identifying a buildings boundaries.
SFI HAVE A 40% BETTER CAPTURE RESOLUTION THAN NEA
5cm (SFI) v 7cm (NEA)
https://go.nearmap.com/hubfs/pdf/solution_briefs/PhotoMaps-Datasheet.pdf?t=1513615210132
https://www.spookfish.com/pricing/compare-plans
What the increased level of detail does is it enables a wide range of value-added products to be generated to a high degree of accuracy including Digital Elevation Models (DEMs), Digital Surface Models (DSMs), contours, orthophotos and 3D GIS feature data capture. This is where big data and analytics come into play and will drive the future growth in the industry, especially in the global insurance industry.
What accuracy means is shown here between a SFI and NEA capture of the same property (hotcopper will only allow thumbnails, click to enlarge).
1. SFI property boundary going along the fence line.
2. NEA property boundary going through the roof and driveway.
Note: the boundary overlay is a public government dataset. It’s the NEA image that is out.
I will say it once more, this is the reason SFI won the CIMIC tender and it is this game changing difference the technology is attractive to the global insurance industry that is served by Verisk and Eagleview.
The technology enables conglomerates who serve the global insurance industry to capture the underlying properties of buildings on a national scale at a fraction of the costs of their current systems. It’s simply game changing for SFI and whoever wraps the technology up first will have the first mover advantage.
The blue sky opportunity is the global insurance sector where the quantum of revenues is substantial and recurring. Natural disasters are increasing in frequency and magnitude year on year with insurance industries relying on accurate aerial imagery more than ever.
Verisk highlighted the difficulty of getting accurate information about the underlying property, outside the US. The SFI technology has solved this issue globally and revolutionised the product offering in the US as well by potentially driving down current pricing models below Verisks cost base.
Verisk have flagged Australia and the UK as places of poor data quality.
