Why a full-stack data provider is better for your business
Mar 2025
A single source of accurate data provides numerous benefits such as consistency across projects, confident decision-making, and complex problem-solving.
Mar 2025
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By leveraging geospatial solutions, professionals can surface key insights about issues — expanding the questions they can ask and the answers they can explore. But that’s only true if the data powering the solution is accurate. This is why a single source of truth becomes necessary.
Using poor or outdated data can lead to errors, wasted effort, and incorrect answers. This poses a significant risk to businesses, especially in high-stakes fields like disaster response, urban planning, and insurance. Meanwhile, a single source of accurate data can provide numerous benefits such as consistency across projects, confident decision-making, and more.
But does a solution powered by centralised data exist? It does, and it’s called location intelligence.
What is location intelligence?
Location intelligence synthesises spatial data, image analysis, and AI to create insights you can act on. It does this by merging high-resolution aerial imagery, 3D modelling, geospatial tools, and predictive analytics to deliver a clear, comprehensive view of any location. Centralising these data sources into one integrated platform eliminates the inconsistencies that come with patchwork geospatial solutions. But, location intelligence solutions are not all the same. Many providers rely entirely on third-party sources — which often diminishes data quality and creates inefficiencies.
The risks of fragmented data sources
When location intelligence depends on multiple providers, professionals risk data gaps, mismatched formats, and costly delays. This can be due to third-party sources not delivering imagery in time, resulting in datasets that don’t accurately reflect real-world conditions. Multiple data sources can also deliver inconsistent quality as internal teams try to piece together information.
In short, poor data leads to poor results — so professionals running on fragmented data are set up for failure. The best location intelligence runs on a full-stack provider that handles aerial captures and processing in-house to ensure data quality.
Why a full-stack approach is best
Leading location intelligence sets itself apart when the solution’s provider handles every step of the data lifecycle, from aerial image capture to processing and delivery. This full-stack approach is the only way to ensure that geospatial professionals work with consistent, high-quality information.
But what makes for a full-stack data provider? A full-stack data provider uses its own camera systems to map urban and suburban areas. This ensures reliable quality and consistency. A full-stack provider processes imagery data in-house. This ensures uniformity across regions and seasons. And, a full-stack provider publishes this data on its platform. This ensures that the solution’s outputs have been assessed and approved by quality assurance.
Using full-stack location intelligence to turn insights into answers
A single data source elevates geospatial workflows across industries and scenarios. Here’s how organisations nationally are leveraging full-stack location intelligence to find solutions to their challenges.
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Site assessment & evaluation
International AEC firm, Walter P Moore, reduced on-site work with remote site intelligence. This gave their team access to accurate site data, including elevation, point cloud, and historical insights — allowing them to generate better bids, designs, and plans from their desk.
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Mitigate property risk
Ohio Mutual Insurance Group needed a proactive approach to predict and prevent future damage to their insured properties. Location intelligence’s AI-driven insights automatically reveal property information, enabling underwriters to quickly flag properties with the spotlights most relevant to their business needs. This allows Ohio Mutual to address risk concerns by working together with the insured to reduce exposure.
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Modernise urban planning
The city of Kelowna relies on accurate location intelligence to make decisions for its growing community. High-resolution imagery minimises the need for physical site visits by city planners and engineers. 3D models provide transparent visuals for the community to understand city developments. And AI detections help Kelowna’s planners automatically identify critical insights, like impervious surfaces or vegetation density — optimising the sustainability of future developments.
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Speed up disaster response
After Hurricane Ian hit, Kin Insurance used location intelligence to analyse how the storm impacted 40,000 of its insured properties. Even as many customers were evacuated from their homes, location intelligence enabled Kin to quickly initiate the claims process and provide immediate support to those in need. This proactive approach allowed Kin Insurance to service more than 50% of total claimants within the first 5 days after Hurricane Ian.
The best location intelligence runs on a single source of truth
Organisations that adopt a centralised approach to their location intelligence reduce confusion and act with confidence. But, most location intelligence providers don’t offer the full stack. There’s just one that does: Nearmap.
Nearmap bridges the gap between image capture and delivery, using proprietary imaging technology and a geospatial content team to collect, process, and publish location intelligence. This streamlines the processing pipeline to optimise data accuracy, speed, and recency — so the imagery is in your hands and ready to use within a few weeks of capture.
By handling everything in-house and incorporating AI, machine learning, and computer vision, Nearmap provides the best aerial data, delivering greater insights and empowering smarter decision-making. This is why Nearmap users can rely on us to help them find real-time answers to their real-world challenges.
Ready to experience full-stack location intelligence? Contact us today.