Our focus is providing our clients with the critical insights, evidence base and advice that they need to make complex decisions.
Our highly skilled data analytics team is made up of senior economists, modellers and forensic specialists with extensive global sector experience.
Our people relish working with complex datasets and undertaking sophisticated modelling.
We frequently extend beyond conventional methods to provide tailored analysis that is highly regarded for its trusted and consistent quality.
No bulk solutions are prepared here.
With respect to advisory work, we help our clients make better decisions by supplying the data, analysis and conceptual frameworks they need, customised to their specific challenges and contexts.
With respect to our forensic work, we help our clients to navigate disputes and investigations by delivering rigorous and thoroughly documented data analysis tailored to specific demands of each case.
The areas we are regularly called upon to provide data analysis and modelling include but are not limited to:
Our state-of-the-art, highly secure cloud server can expand to meet any scale of data needs on demand, with access to tools such as SQL, R, Stata, Python, Power BI and Tableau.
Our clients know they can rely on our considerable experience in handling large-scale, highly sensitive data, with the confidence that we can help them navigate the most complex requirements.
Analytics
Our team’s blend of experience, a wide range of research expertise, exceptional analytical ability and industry-specific knowledge in public policy, forensic accounting, legal and regulatory frameworks enable us to deliver an exceptional service to our clients.
Modelling
Our modelling is relied on by government agencies, law firms, investors, regulators and private firms. Our services include a broad range of bespoke modelling and forecasting products, including:
As independent consultants, we frequently extend beyond conventional methods to provide tailored analysis that is highly regarded for its trusted and consistent quality.
Our team supported a complex fraud investigation involving millions of transactions across more than 50 bank accounts. Using Python, we developed a bespoke funds-tracing model applying FIFO, Lowest Intermediate Balance Rule and pro-rata methodologies, with flexibility to test different assumptions as the investigation progressed.
We supported a class action matter involving millions of transaction records. Using Python and SQL, we developed an automated process to cleanse, standardise and categorise inconsistent data, creating a reliable dataset for loss analysis. Detailed documentation captured all data transformations steps and assumptions applied throughout the engagement.
We modelled the payoff risk, using value-at-risk, of various portfolios of contracts (forwards and options) and plant assets that electricity market players may hold. The modelling involved a combination of microsimulation of half-hourly electricity loads and prices for a year, and non-linear optimisation to estimate and compare the minimal value-at-risk with different availability of risk management contracts or plant assets.
We conducted a prevalence-based cost-of-illness study of HPV-associated cancers in New Zealand. Using exact stratum matching, people diagnosed with HPV-associated cancers were compared with the remaining population across age, sex, ethnicity and deprivation. This ensured comparisons between demographically similar populations, reducing potential confounding and providing a robust basis for estimating the costs associated with HPV-related cancers.
Using nationwide data from 2.48 million patients across 469 general practices, Sapere applied multivariate regression modelling to identify drivers of healthcare use and develop improved capitation weights to better align primary care funding with patient need.
Analysis of a comprehensive state-wide database of planning related decisions to help identify bottlenecks and areas where decisions are being delayed. This involved collating and cleansing data from over 30 individual decision-making authorities and utility providers encompassing over 100,000 planning events. Project deliverables included the development of an interactive Power BI dashboard to visualise performance and trends over a four-year period.
Design and delivery advisory for a program to reduce risk for a maritime regulator. Program design was based on development and agreement of a shared risk model between the regulator, port and industry stakeholders.
Assisting the Victorian Department of Treasury and Finance with the delivery of the Victorian Business Acceleration Fund which comprises nearly 100 individual projects aimed at reducing the cost of business and encouraging economic growth.
Program design for a major, multi-year departmental change program, including development and implementation of required program controls.
Review and recommended improvements to governance through the full lifecycle of grant program design, project selection and allocation through to delivery and benefits realisation.
Program design for a major, multi-year departmental change program, including development and implementation of required program controls.
Based on years of project and program assessment, assurance and delivery, the Sapere Good Governance Guide helps establish the right governance and decision making for major initiatives as a way of maximising success and avoiding common challenges that can lead to project failure.
