Asset & Data Management
Every other improvement in social housing — faster repairs, better compliance, targeted retrofit — depends on one thing: knowing what you have. That sounds obvious. In practice, it's where most organisations are still doing the hard work.
Incommunities, working with M-Files, has digitised over a million documents, turning previously inaccessible records into instantly searchable information. Rotherham MBC has unified data across 20,000+ homes, achieving 100% compliance on contractor performance tracking. Ocean Housing, with 3C Consultants, tackled the problem at source — stopping bad data from entering systems rather than correcting it downstream.
The lesson from these cases is consistent: the quality of data within systems matters more than the systems themselves. Fragmented records and historic gaps create uncertainty that slows every other part of the operation. Better data is also changing investment decisions — tools like Sava and Propflo enable landlords to target spend with precision, avoiding wasted investment.
For residents, the benefit is felt indirectly but meaningfully: repairs based on accurate information, fewer repeat visits, and fewer delays caused by not knowing the history of a property.
Case studies
Written-up examples from UK housing providers, with named organisations and measurable outcomes.
Implemented a single configurable housing platform across five merged councils, replacing fragmented legacy systems and giving staff a unified view of housing stock, demand, and performance.
80% reduction in time to process void properties. Manual tasks eliminated. Managers gained real-time visibility they had not previously had.
Deployed M-Files document management platform to digitise and structure over a million housing documents, making critical information instantly accessible to staff across the organisation.
Over 1 million documents digitised and instantly searchable. Significant reduction in time spent locating records. Improved ability to evidence compliance and respond to resident queries.
Undertook a data management transformation focused on stopping bad data at source — improving input processes and governance rather than simply cleaning data after the fact.
Significant reduction in manual data correction. Improved data quality across the organisation. Better foundation for reporting, compliance, and service delivery decisions.
Also worth reading
Further examples from the Proven Public database — not yet written up in full.