In an era where we are wiring up to the Internet billions of data–generating products, assets, buildings and devices – each with a unique location – the need to use advanced location technology to collect, process and analyse data for business and operations insights will only grow. Thanks to machine to machine communication and machine learning, as well as predictive (what will happen?) and prescriptive (what should be done?) analytics, the IoT’s value proposition is accelerating. It is already changing the landscape across industries like retail, manufacturing, utilities and government.

Because location is such a crucial facet of IoT data, many organisations and businesses find that a modern GIS, fed by real-time data, can be a powerful tool for operations. By ingesting, processing, analysing and visualising tens of thousands to several million events per second, real-time GIS empowers decision-makers and stakeholders with the latest information and insights they need to drive immediate and future ideas and strategies. It takes the IoT’s high-velocity, high-volume data and brings it to life, revealing patterns, connections and opportunities that are difficult – or impossible – to decipher otherwise and enables a speedier, next-generation level of decision-making and problem-solving.