27/10/2025
Data For Good: The Role Of Analytics In Solving The Housing Crisis
What if the solution to Britain’s housing crisis isn’t building more homes, but having a better understanding the ones we already have?
Millions of people are waiting for an affordable home, yet one of the challenges facing the housing sector is understanding the condition of the homes we already have.
The UK housing crisis is being driven by a shortage of affordable housing, rising living costs and increasing homelessness. According to Shelter England, more than 1.3 million households are on social housing waiting lists, while 164,000 children are living in temporary accommodation.
Addressing this crisis requires more than building new homes. Housing providers also need reliable information about existing properties, their condition and the needs of the communities they serve. Without accurate data, organisations can struggle to prioritise essential repairs, allocate funding effectively and plan for future demand.
This lack of visibility can lead to inefficient spending, delayed maintenance and missed opportunities to improve the quality and sustainability of existing housing stock. Better data analytics can help housing providers make more informed decisions, ensuring resources are directed where they can have the greatest impact.
Quality data deficiency
The absence of quality data creates serious challenges for the social housing sector. According to GOV.UK, between 2023 and 2024, an average of 15% of households in England lived in ‘non-decent’ homes, often lacking modern facilities or accurate records of their condition.
Without historical and real-time data, addressing issues such as structural integrity, layout, and energy efficiency becomes nearly impossible. This prevents housing providers from planning repairs effectively or identifying opportunities to improve sustainability. The result? Higher costs, slower progress, and missed chances to provide better homes for families.
The solution lies in data management and analytics. By utilising these tools, policymakers, housing providers, and local authorities can gain deeper insights into housing stock, enabling informed decision-making, targeted interventions, and smarter use of funding. Cybit helps organisations achieve this by delivering advanced analytics platforms and tailored data strategies that turn fragmented information into actionable insight.
Cybit helps organisations address these challenges through data integration, analytics platforms and tailored data strategies. By connecting fragmented information and improving access to trusted insights, organisations can develop a clearer understanding of their operations and make decisions based on evidence rather than assumptions.
Building a Housing Strategy That Puts People First
Housing strategies can become overly reactive, focusing on addressing immediate problems without fully considering the long-term needs of residents and communities. In some cases, the emphasis on new housing developments can overshadow opportunities to improve existing homes and preserve established communities.
For many families, a home represents far more than a physical building. Properties may hold decades of family history, while established neighbourhoods provide social connections, local knowledge and a sense of belonging. These considerations make housing decisions complex and highlight the importance of balancing property needs with the experiences of the people who live there.
Data-driven planning can help housing organisations take a more considered approach. By combining information about property conditions, maintenance requirements, energy performance and local demand, providers can build a clearer picture of where investment is needed and which interventions are likely to deliver the greatest benefit.
AI and advanced analytics can further support this process by helping organisations identify patterns, forecast future requirements and explore potential outcomes. For example, analysing historical repair records alongside property characteristics could help identify homes that are more likely to require significant maintenance. This would allow housing providers to investigate potential problems earlier and plan interventions more effectively.
These tools should support, rather than replace, human judgement. Decisions about housing also need to account for residents’ circumstances, community needs and the practical realities of delivering improvements.
A robust data infrastructure can help organisations move beyond short-term fixes towards a more strategic approach. With reliable information and appropriate analytical tools, housing providers can monitor their housing stock, anticipate future demand and plan long-term investment with greater confidence.
The objective is to create communities that thrive, not simply survive. Effective housing planning must consider how developments and improvements connect with transport, utilities, schools, healthcare and other essential services. When these factors are considered together, organisations are better positioned to support sustainable, connected neighbourhoods.
Driving a real‑world impact
It’s no secret that lack of knowledge and data is the main challenge in infrastructure planning. Increasing the literacy of data amongst both planners and service providers, paired with reliable sources for our data, will help move the needle when looking to address the housing crisis. Allowing organisations to be part of the 58% that are outperforming the ones who aren’t using data to guide them.
Partnering with Cybit gives organisations access to proven analytics expertise and modern data platforms, reducing complexity and accelerating results. We help housing providers start small, demonstrate value quickly, and scale with confidence.
The future of housing is data driven. Providers that embrace analytics will deliver safer homes, reduce costs, and create communities that thrive. Those that don’t, risk falling behind.
About Rob Hankin
Rob Hankin (CTO) has 25 years of IT leadership, including a decade in a multi-national manufacturing environment. Over the past 15 years, Rob has worked with leading technologies, vendors, and distributors including Microsoft and AWS. He leads Cybit’s technology partnerships, supporting private and public sector customers across the globe. Rob’s expertise is highly valued by key industry players, where he has served on Partner Advisory Councils and Product Advisory teams. As a trusted advisor, he helps organisations from small enterprises to global industry leaders unlock opportunities through technology.