Financial Analysis and Modelling
Financial analysis and modelling underpins much of our work.
We use best practice techniques and tools to develop versatile models that demonstrate financial impacts, support analysis, and inform decision-making.
Our financial analysis and modelling supports organisations needing to undertake
Business case development
Capital planning
Cost recovery
Demand modelling
Economic and financial feasibility
Funding submissions
Investment prioritisation
Pricing or charges for service
Strategy development
Examples of recent work include:
BreastScreen NSW | Capacity Planning
One of the self-drive mobile vans delivering mobile breast cancer screening services around NSW.
Breast cancer is the most commonly diagnosed cancer in NSW amongst women, accounting for 29.0% of all cancers diagnosed in females in NSW.
Early detection of breast cancer increases the treatment options available and improves the chance of survival.
BreastScreen NSW is part of the national breast cancer screening program and invites women in NSW aged between 50 and 74 years for a free mammogram every two years.
BreastScreen NSW is delivered by nine regional Screening and Assessment Services across more than 250 different venues (mobile and permanent sites).
To inform decision-making at both local and state-level, we have conducted periodic long-term capacity planning reviews of BreastScreen NSW services across the state, including modelling and analysis of:
Population growth
Screening patterns and frequency
Participation levels
Participation goals
Future service demand
Future capacity
Capacity gaps
Capital investment requirements and prioritisation
NSW Rural Fire Service | Pricing Methodology for Rotary Aircraft
NSW Rural Fire Service owns a number of rotary aircraft which, from time-to-time, are made available to other NSW government agencies and to other state or territory emergency services.
We worked with NSW Rural Fire Service to develop a pricing methodology for rotary aircraft owned by them.
The methodology addressed multiple factors including new natural disaster funding arrangements, different types of end-user, recovery of costs, and broader government policy issues around contestability and competitive neutrality.