The government has sent out a clear message
Local Authorities are being encouraged to innovate in their efforts to tackle and prevent homelessness. That innovation needs to involve data. As a result, work to locate and help those at risk of losing their home is gathering pace. If those people can be reached in time, a way might be found for each to keep a roof over their head.
Data from multiple sources is needed
But the data collected has to contain parameters and indicators that will make it possible to predict whether someone will become homeless. If there aren’t enough indicators, or if they haven’t been identified correctly, it may become too difficult to use the data effectively.
Pinpoint methods are needed
A clear method is needed to identify those parameters and indicators and to test whether the data containing them will deliver the results needed. The more indicators there are, the easier it will be to pinpoint the right people to help, and the less time-consuming and expensive the prediction task will become.
Saving Local Authorities money and helping people to stay in their homes.
Identifying the right data
Predicting whether someone will become homeless depends upon patterns in the data. A prediction algorithm is needed that will uncover patterns within the critical indicators and provide a shortlist of tenants most at risk of losing their home.
But if that shortlist is too long, then it may be of limited value.
Those critical indicators could include past evictions, court action, rent arrears, irregular rent payments. These would be enough to identify a pool of potential homelessness candidates, but the pool might be too big to be of use. If so, the indicators that would make the biggest difference would be those relating to specific causes of homelessness e.g. rent increases, ill health, relationship breakdown, job loss. But relevant data might be very hard to find. If this is the case, Field Workers on the ground could be ideally placed to provide it. With the right mobile technology, Field Workers on the ground can flag highly relevant indicators of stress and distress, building greater precision into the prediction. New and highly relevant data will bring greater precision to the results and shorten the time taken to find and provide help to those who may ultimately have to suffer eviction or opt for abandonment.
What Develin brings
We provide your data specialists with the skills and technology needed to pinpoint who is most likely to become homeless – with precision. We bring:
- A record of homelessness prediction in the country’s third biggest Housing Association;
- The Technology to permit precision analytics plus mobile data collection;
- Deep experience of predictive analytics in social housing plus cutting edge data science skills;
- A passion to make a difference to homelessness in the UK.
Make a start now and contact us to find out more
There is much work ahead to collect the current data, however, we can help you to plan now for the analytics that you will need in the near future. To find out more about how we can assist please get in touch.