The HACT 'Housing Big Data' project has received major support from Nominet Trust, which has announced that it will be providing £50,000 of funding to the project.
HACT, which is running the Housing Big Data project, initially invited a small number of housing providers to join the project in its first phase. Many large housing providers are currently participating, representing around 400,000 homes. The project will establish a shared dataset that will be analysed using a range of Big Data techniques to generate insights that housing providers can apply in their organisations. HACT is now open to receive further expressions of interest from other housing providers wishing to join the project.
Jim Vine, Director of Innovation and Business Development at HACT, said:
“I am delighted that Nominet Trust is supporting Housing Big Data. This project has incredible potential to reveal powerful insights that will help housing providers to meet the needs of their residents and the wider communities they serve.
“Housing Big Data is putting the housing sector at the forefront of data use in the non-profit sector. Not only will Nominet Trust’s funding support HACT’s ability to make Housing Big Data an essential resource for the housing sector, it will also ensure that social housing acts as a beacon to other sectors in the potential for Big Data to improve the way we work.”
Nominet Trust is a leading investor of projects that use digital technology to improve lives and communities. Annika Small, CEO Nominet Trust commented:
“This is a strong idea from an organisation with an outstanding reputation within a sector that has unparalleled reach with society’s most disadvantaged groups. That 16 housing providers have already signed up means that hundreds of thousands of homes will contribute to this first, robust dataset. I’m optimistic this will trigger a big shift in how the sector perceives and uses digital to improve its services.”
Housing Big Data is also receiving substantial pro bono support from Microsoft, which is providing cloud server credits for storage and processing of the dataset, along with technical and analytical capacity.