Identifying HMOs through machine learning and artificial intelligence
Hackney Council wanted to use the data it already held on existing licenced HMOs, to find out which residential properties might also be HMOs. It also wanted to know which were privately rented or owner occupied.
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Coordinating the COVID-19 response to the most vulnerable
Local authorities need information they can trust about vulnerable people, so that they can provide effective support. By appending the UPRN to 70,000 records, the local authorities in Wales knew they would improve their responses and outcomes.
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Supporting the NFCC - exploring theories on fire safety
London Fire Brigade (LFB) wanted to discover whether a food outlet with a low hygiene rating might be more likely to have a fire. They asked us us to organise a workshop in which spatial data might show if poor food hygiene management is an indicator of a poor attitude to managing other aspects of the business including fire safety.
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Improving the collection of Land Transaction Tax
Using GeoPlace’s bureau address data matching service, the Welsh Revenue Authority (WRA) matched almost all of its existing address data to the authoritative UPRNs. This will allow them to collect Land Transaction Tax more accurately
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