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GeoSpock Launches Spatial Big Data Platform

February 27, 2019

GeoSpock launched its groundbreaking Spatial Big Data Platform, which enables stakeholders to reveal hidden data insights and drive game-changing business decisions.

The Spatial Big Data Platform unifies GeoSpock’s product suite, offering the same capabilities – extreme geospatial scale and hyper-efficient retrieval – to clients in an accessible and user-friendly way. With a rise in data stemming from the machine-to machine-economy, as well as the Internet of things endpoint market, the Platform offers the analysis, management, and exploration of this data to empower decision-makers with the insights to manage real-time data and users, as well as predict future scenarios.

Using its Spatial Big Data Platform to run queries on petabytes of data, GeoSpock is able to delve deeper, analysing capabilities to enable outcomes for future business benefit. The Platform’s capacity for data management also improves the user experience as it allows businesses to preview data before ingesting, ensuring optimised performance. Finally, the Platform transforms the way businesses can explore and visualise their data, bringing together multiple datasets to discover hidden patterns and enable immediate business impacts.

Richard Baker, CEO at GeoSpock, comments: “Our Spatial Big Data Platform – the first of its kind – is a revolutionary approach to data analytics and demonstrates GeoSpock’s leading technological expertise. The platform allows business leaders from industries, including automotive or Internet of Everything (IoE), to reveal contextual intelligence via state of the art data connectivity. We are looking forward to working with businesses to help them to gain valuable insights from their untapped data assets and put their business at the forefront of their industry.”

GeoSpock aims to become the de facto processing engine at the heart of next-generation infrastructure, including smart cities and the Internet of Everything (IoE), as well as powering future mobility applications, including the management of autonomous vehicle fleets. The company’s revolutionary data engine analyses extreme amounts of contextual data in sub-second response time.

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