Session overview

Housing providers hold vast amounts of repairs and asset data, but how much of it is being used to inform investment decisions? What if it could help identify components performing better or worse than expected, challenge stock condition assumptions, and target maintenance and investment more effectively?

Join DIN and Mears Group to find out about the opportunity for you to join our new Asset Intelligence Model DINLab, a 12-week collaborative research project starting in early 2027.

Mears has developed an Asset Intelligence Model that combines stock condition information with actual repairs performance. Initial analysis of more than 30,000 homes has identified significant concentrations of repairs demand and opportunities to challenge existing asset assumptions.

We're now inviting six housing providers to develop the learning by applying it to your own data to find out more about how to target your investment - initially focusing on bathrooms, roofs, windows and front doors.

What is a funded-research DINLab?

Funded-research DINLabs are part of DIN's innovation platform, bringing housing providers together with innovative companies to rapidly test, evaluate and learn from new services, technologies and approaches. They give participating organisations an affordable opportunity to explore solutions they might not have the resources or expertise to investigate independently, while sharing insights and learning with other providers.

What we'll cover in the webinar

This free briefing will explain the research approach, data requirements, resources, costs and potential benefits, helping you decide whether participating is right for your organisation.

• How the Asset Intelligence Model works and what Mears has learned so far.
• What the DINLab will test, including component performance, repeat repairs, stock condition validation and predictive potential.
• What participating providers will receive, including their own detailed analysis and anonymised cross-provider comparisons.
• What's involved in taking part, including data requirements, timescales and costs.
• Your questions and an opportunity to discuss whether the project could work for your organisation.

The research is subsidised by Mears, so participation in the full 12-week project will cost just £500 for DIN members and £750 for non-members. You don't need to be a Mears customer or have specialist analytical capability to participate. Joining the webinar to find out more is of course, free!

We're looking for housing providers with at least 1,000 homes, five years of property-level repairs data and at least 70% stock condition data coverage for the relevant components. Your data doesn't need to be perfect.

Speakers

Phil Pemberton, Associate, DIN

Phil has over 40 years’ asset management experience across the public and private sectors. Most recently, he was Director of Asset Strategy and Delivery at Riverside Group.

Greg Robinson, Managing Director – DLO, Mears Group

Greg has over 15 years' experience leading operational delivery, growth and service improvement across housing, construction, maintenance and engineering services. He leads the strategic development of the project, bringing Mears' operational and delivery perspective.

Chris Seman, Head of Business Intelligence, Mears Group

Chris has a background in housing intelligence, performance and resident insight. He leads Mears' work using repairs and asset data to understand component performance and inform capital investment decisions.

Chaired by Jo Hills, Associate Director and Property Channel Lead, DIN.

Who should attend?

This DINLab is ideal for housing organisations looking to deepen their understanding of how data can support investment planning, including:

• Directors and heads of assets, property, repairs and investment.
• Service design and innovation leads
• Senior leaders shaping strategy and regulatory response.

Come along to explore whether your repairs data could help you make smarter asset decisions — and how your organisation could get involved.

Joining Information

Your joining link will be sent via Eventbrite 7 days before the session, and you will also receive a reminder from events@dinetwork.co.uk approximately 2 hours before the session.

Sessions are recorded where possible; however, slides and presentation materials are not guaranteed to be shared afterwards.

If you have any questions about the event or your booking, please contact events@dinetwork.co.uk.