Location Data, data and more data; lakes and oceans of data. Layered and interactive. Vital as an additional tool in the big data analytics field for all industries and sectors.
Not just cities, but insurance, asset management, PPM, FM, social housing policy...
Needs the means to join, access and analyse multiple and disparate data sources:-
- Internal and external
- Structured
- Semi-structured
- Unstructured
- Historic
- Current
- Real-time
- Predictive
- All these.
The data platform to realise the promises of AI, RPA, Deep Learning and so on.
At the heart of spatial analysis is data. Lots and lots of it. A basic map is adorned with dozens or hundreds of interactive data layers. Platforms such as Esri, Caci and Alteryx offer libraries of proprietary and open source data from Experian, Dun & Bradstreet, the Ordnance Survey, census data, satellite imagery, Met Office weather data and hundreds more to be woven in with the client’s own information. Spatial analysis takes the guesswork out of infrastructure planning, by integrating every known source of data into a single working model.
https://www.raconteur.net/business-innovation/spatial-analysis
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