What problem are we looking to solve or what decision does the client need to make? These questions drive what analysis we need to undertake to turn geospatial data into information. Analytics is largely driven by the tools and innovation available through machine learning and artificial intelligence.
Reality capture involves choosing the ideal imaging method pivotal for project success.
Data Management as a Service (DMaaS) fit for purpose authoritative data accessible in the right platform.
Visualisation of data to provide the right user experience to make assessment and decisions.
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