As a customer, you define your KPIs and decision criteria for solar farm investments. DataHive provides the data you need directly into your analysis platform. During the onboarding phase, we support you in configuring the platform in the way that works for you, based on your filtering criteria. When desired we do onboarding workshops or regular check-ins to get the system work best for you and your team.
We combine raster data (digital terrain models) with vector data (cadastre data). This enables a detailed topographic analysis, including slope, exposure, and soil condition.
We calculate distances to feeder lines and substations, not only straight-line distance. We account for geographic barriers to estimate effective connection costs. We also quantify how many parcels lie between a site and the grid, and apply topology-based selection using landscape structure, road networks, and supply areas to filter out sites that are not sensible to connect for economic reasons or due to ecological protection measures.
DataHive offers a variety of data types focussed on the real estate market including geodata, building and housing metrics, construction planning and legal frameworks, environmental risks, energy and mobility data, population and household data as well as real estate market data. Most of our data is focussed on Switzerland, but we also work on custom projects in other geographies or data areas that are not included in our current portfolio. If you are interested to learn more, schedule a non-binding meeting with one of our experts to talk about the feasibility of your data project.
Most of our data is focussed on Switzerland, but as evident from this particular use case, we also work on custom projects in other geographies or data areas that are not included in our current portfolio. If you are interested to learn more, schedule a non-binding meeting with one of our experts to talk about the feasibility of your data project.
