Mears Group’s industry experts join panel discussions at the Housing Community Summit (8-9 September).
The two-day event was hosted by the National Housing Federation and Chartered Institute of Housing and provided an opportunity for housing professionals, clients and partners from across the UK to explore issues shaping the future of housing.
Chris Seman, Head of Business Intelligence for Mears Group, joined a discussion to consider how the sector can use data to improve housing quality and standards.
Chris shared recent findings from an analysis of housing stock across the leading service providers' clients, and how this is being used to inform Mears’ total asset management approach. He explained:
“We analysed asset and repairs data across 35,000 properties, to combine recorded stock condition with repairs data to create a richer view of asset condition, performance and potential investment need. This research found that just 5% of clients’ assets are driving a significant proportion of overall repair demand*.
“Understanding where repair demand is concentrated allows us to support clients with making more informed investment decisions. Ultimately, this improves housing quality and standards, leading to better outcomes for residents.
“The panel discussion provided an insightful opportunity to consider these findings alongside industry experts and researchers within the sector. My main take away was that better investment decisions won’t come from relying on a single source of information, but from bringing together different forms of evidence to build a more complete picture of how our assets are actually performing. Repairs data has a valuable role to play in that, providing a continuous evidence base that can strengthen our understanding of asset condition and inform more intelligent, data driven investment decisions.”
By combining stock condition data with repairs intelligence, Mears’ Asset Intelligence Model allows housing providers to prioritise investment where evidence is strongest leading to improved return on capital expenditure. The model not only identifies
opportunities to reduce recurring responsive repairs demand; it also provides evidence to validate asset data, challenge assumptions around replacement cycles and target further stock condition activity where uncertainty is greatest.
Read more about Mears’ Asset Intelligence Model, here: Our Asset Intelligence Model in action
*Figure based on an analysis of over 830,000 repairs for 35,000 homes across Mears’ client stock.
