We use modern analytic tools, including machine learning, to find patterns and insights in data and turn that into practical actions that improve performance and client impact. This can include developing models deployed in the organisation to improve demand management and triage, focus services, reduce risks or other challenges of performance.
- Operational improvements - use data to understand and address specific operational challenges (such as demand management, risk, performance, triage, and others).
- Service optimisation - use insights from data to allocate resources and adjust service delivery in a more tailored way to meet individual client needs and maximise impact.
- Efficient resource allocation - Look in more detail at client and cohort groups to allow staff to allocate their time and efforts where they are needed most, freeing up time.
- Client-need insights - Understand - through quantitative as well as qualitative research - what drives risks and needs among client groups using that knowledge to adapt services and tailor solutions better to individuals.