Original thinking for a geospatial world
James Cutler, continuing a journey of geospatial discovery
Beyond big data to great insight
The 21st century economy is an economy unlike any that has gone before – call it the digital economy, the information economy or the behavioural economy, unlike previous industrial revolutions it is fuelled by an infinite, not finite, resource, data. So success today, and tomorrow, depends on an ability to understand data, what it is, how to interact with it and how to harness it most effectively. In and of itself data isn’t power but understanding brings that power, the power to do things differently, to derive new information and insight, to inform intelligent decision making and choices and so much more.
Data has been harnessed to ‘big’, to ‘open’, to ‘evidence’, to ‘science’ and to ‘analytics’ and as well to ‘quality’, ‘engineering’, ‘capture’, ‘control’, ‘trust’ and ‘ethics’. It can be intimidating even before you add time-series and geospatial dimensions to the mix. Navigating this key business area can be intimidating, clouded by jargon and complexity.
We have the expertise and experience using location data and geospatial tools and technologies and in location content to unscramble this and help deliver greater certainty and improved outcomes.
Geospatial is constantly changing, keep up!
As your daily routines demand - look around, look down, look up, look in your pocket, on your wrist, at your transportation, at your food. There are sensors everywhere, in the sky, in space, in pipes, on posts, on you, collecting data, all the time. And more are added every day – from second-by-second data streams from the internet of things to repeat cover of the whole planet from space every day. That’s a lot of data. And it’s already working hard for you, for government, for business and for the planet.
So, when we talk about, read about or are told about data, it tends to be in awe, using newly acquired jargon and acronyms – big data, IoT, AI, EO, GI, machine learning, blockchain, quantum this or that, data science, cloud, UAVs. It’s not very tangible or accessible or engaging. And it forgets something, something big.
All that data, it is about something, somewhere – it’s geospatial.
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