What is Big Data?
Big Data is defined by volume, velocity and variety — large amounts of data coming in quickly in a number of formats.
Geospatial data is a crucial component of big data, adding context that allows for better, multidimensional insights that facilitate smarter decisions, improved business operations and innovation to deliver a strong competitive advantage.
How can GIS and Big Data solve problems?
Every organisation grapples with the challenge of how to best refine raw data into a meaningful asset — one with measurable business value.
Location being a fundamental aspect of data, makes spatial analysis a valuable tool.
Using location intelligence, organisations can derive insights, uncover hidden patterns and support an informed decision-making process.
ArcGIS Big Data tools
Map assets in real-time for better decision-making and maintain real-time situational awareness for better-coordinated field activities.
Using the power of distributed computing, analyse large volumes of detailed vector datasets and run analysis in a single transaction for faster and enhanced productivity.
Big Data in action
Atlanta Airport IoT deployment collects massive data records that are put into a solution builder that connects to GIS technology to create end solutions.
Modelling 12 million soil polygons with 365 days of weather data for 87 hybrid seeds resulted in 300 billion spatial and temporal calculations carried out in 10 minutes to show when and where each seed should be planted.