Using Data Dashboards to Improve Public Housing Policy: Lessons from Cross-Agency Collaboration

Public housing systems rarely collapse overnight. In most cases, failure is gradual and predictable. Rent arrears creep upward, maintenance complaints accumulate, residents disengage from services, and health or safeguarding concerns quietly intensify. The tragedy is not that these warning signs exist, but that they are scattered across agencies that rarely see the same picture at the same time. Housing departments often hold detailed operational data on tenancies, repairs, and arrears. Health services observe patterns of vulnerability that correlate strongly with housing instability. Social services track family stressors and safeguarding risks. Each dataset tells a partial truth, yet policy decisions are frequently made within institutional silos that obscure the broader reality. By the time a problem is recognised as systemic, intervention is expensive, disruptive, and frequently too late. Data dashboards have emerged as a response to this fragmentation. Their promise is simple: integrate information across agencies and present it in ways that support timely, coordinated decision-making. Yet the lived experience of dashboards in the public sector has been mixed. Many initiatives stall after initial enthusiasm, producing static visualisations that inform reporting but fail to reshape policy or practice.