Community Housing Allocation Optimisation
The Challenge: A regional housing authority was struggling to objectively prioritise limited housing stock across diverse community needs.
Our Approach: We developed a transparent, ethical allocation algorithm that balanced urgent need with long-term outcomes, while mitigating unconscious bias.
The Impact: 23% improvement in appropriate placements, 40% reduction in waiting time for high-vulnerability applicants, and a publicly explainable process that increased community trust.
“Data Insight Partners helped us navigate an impossible balance of compassion and constraint. Their solution didn’t just improve our numbers—it restored our team’s confidence in making difficult decisions.”
— Maria J., Housing Services Director
Predictive Emergency Response Planning
The Challenge: A rural emergency services network needed to optimise resource deployment across a vast geographic area with seasonal variations in demand.
Our Approach: We combined historical incident data with weather patterns, tourism statistics, and demographic information to create a dynamic prediction model for service demands.
The Impact: Response times decreased by 17%, resource utilisation improved by 30%, and the model successfully predicted three major demand spikes during extreme weather events.
“Unlike previous consultants who gave us impressive but unusable models, Alex delivered solutions our team could actually implement and maintain. The ongoing support has been invaluable as we’ve refined our approaches.”
— Commander Robert T., Emergency Services Coordinator