Slough Borough Council is on a mission to increase coverage of electric vehicle (EV) charging locations.
Case studies
Discover how Ordnance Survey data is driving more efficient decisions in organisations like yours
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Torfaen County Borough Council is using OS NGD data to maintain the areas of land it covers.


Southern Housing is one of the largest housing associations in the UK, owning and managing over 80,000 homes across London, the Midlands, and the South East.
A not-for-profit housing provider, its social purpose is the foundation for all its work. Southern Housing is determined to maximise...


Morrison Data Services (MDS) is the largest independent multi-utility metering services company operating in the UK. It supports critical energy and water providers including British Gas, EDF, Thames Water, and Southern Water. With over 50 million energy and 9 million water meter readings made an...


Thornhill and Blair Drummond are two communities located within the Stirling council area in Scotland. They are served by the Thornhill and Blairdrummond Community Council, a voluntary organisation set up by the local authority, and run by local resident volunteers.
The Council has used Pa...


Bolton-le-Sands is a large village and civil parish of the City of Lancaster in Lancashire, England. Bolton-le-Sands Parish Council turned to Parish Online, a Geoxphere solution supported by OS data, for traffic and parking planning.


Ordnance Survey (OS) Channel Partner, Landmark, is supporting the Thames Tideway Tunnel project, supplying ready-to-use data to enable informed decision-making.
The Thames Tideway Tunnel is a project run by Landmark’s client, Tideway. Tideway’s mission is to connect Londo...


Nationwide, the world’s largest building society, and a prominent and responsible mortgage lender, faced the challenge of accurately assessing properties on which it was asked to lend. Ordnance Survey (OS) data has helped enhance the mortgage lending process, providing better service to cus...


Hiscox UK, a leading insurance provider for high-net-worth customers, faced a significant challenge in managing risks associated with high-value assets, and used Ordnance Survey (OS) data to determine exact locations of insured properties.
