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In an age of social media-driven fake news, global geo-political turmoil, and economic uncertainty, it’s becoming increasingly difficult to know what is real and what is not. 

So too for asset owners, infrastructure operators and engineering service providers having to collectively work to replace ageing assets under our highways and pavements – often with a limited knowledge of what exists beneath their feet.   Safe working, avoiding service strikes, keeping the lights on and transport flowing is the priority, however, poor and wrongly-recorded information about buried utilities and the subsurface results in higher construction costs, congestion, not to mention the societal costs.   

Trying to quantify the problem is difficult – however, when you start to think about how many roadworks and holes being dug you encounter on a daily basis, then think of that on a national scale, what a missed opportunity it is when information about what’s in the hole is not recorded!  If, as It is estimated, that up to 50% of all spatial data is incorrect, how on earth do we begin to tackle this, and tackle it we must, if we are ever going to be able to rely on the information we are being provided with and reduce the cost to society.

So, how are geospatial companies such as MGISS able to help solve this seemingly never-ending problem? 

For over 20 years, we have been working with utility companies, highways contractors and engineering consultants encountering these problems to provide solutions for them and their clients.  By encouraging the accurate capture of buried services and subsurface detail, steps are being taken at a project/site level to improve the quality of spatial information. 

But we’re only scratching the surface (excuse the pun) and this masks a fundamental problem of consistently reconciling high accuracy 3D data capture with legacy spatial databases. By starting with the old data, developing a new data model and integrating cutting-edge, high accuracy 3D geospatial technologies, MGISS are attempting to put an end to fake data and move to a new era of spatial data you can trust. 

The original article can be viewed here.

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