Data Analytics

What we do

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:

• Forensic accounting:
  o class actions
  o investigations, including funds tracing and employee underpayment matters
  o dispute resolutions that involve large datasets and/or complex modelling.
• Advisory:
  o Economic regulation
  o Health service planning
  o Investment planning
  o Energy market reforms
  o Natural resource management
  o Revenue regulation of network industry and critical infrastructure
  o Resource consents.

Helping you navigate complex requirements

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:

• Linking and analysis of large datasets;
• Time series modelling and forecasting;
• Linear and non-linear optimisation modelling;
• Tariff and revenue modelling;
• Micro-simulation modelling;
• Risk analysis and risk prediction modelling;
• Machine learning;
• Bespoke modelling of local power systems, generator simulation, energy and ancillary service prices;
• Bayesian network modelling;
• Short and Long Run Marginal Cost (SRMC/LRMC) calculations;
• Earnings at risk (EaR)/value at risk (VaR), risk-weighted price modelling;
• Duration and survival modelling;
• Customer or population segmentation;
• Ex-post evaluation using causal inference/quasi-experimental methods (including propensity score matching, interrupted time series, difference-in-differences and event study methods); and
• Data visualisation, including bespoke dashboards and interactive reports.

As independent consultants, we frequently extend beyond conventional methods to provide tailored analysis that is highly regarded for its trusted and consistent quality.