Our team has a broad range of econometric and data analytics expertise that we use to help our clients answer important questions. We generate leading insights from our analysis to support governments, regulatory bodies and firms in their strategic decisions.
We follow these key principles:
The future is never certain; using advanced econometric methods, we can pick up trends and signals and make projections of likely future scenarios that help answer your business questions.
Key questions we can help clients to answer:
Using advanced econometric analysis such as Stochastic Frontier Analysis (SFA), we help businesses and regulators to identify more efficient entities after accounting for variables that are outside of management’s control.
Key questions we can help clients to answer:
We apply a wide array of econometric and economic modelling methods, such as Computable General Equilibrium (CGE) and Granger causality tests, to assess impacts of policies and infrastructure investments under different options.
Key questions we can help clients to answer:
We use big data methods to draw business insights from large datasets that you already have.
Key questions we can help clients to answer:
The marketing media landscape is continuously changing. Using your own sales and marketing data, we help you determine the optimal marketing mix to maximise return on investment.
Key questions we can help clients to answer:
Using your sales data and our access to bespoke market databases, we can help you to understand the drivers of demand for your products and how you can optimise your pricing decisions going forward.
Key questions we can help clients to answer:
How do you build a robust long term forecasting model to inform your commercial strategy? This was the exam question asked by a UK financial services group. We helped our client build an econometric model to forecast house prices over the next fifty years using our expertise in machine learning and Monte-Carlo simulation.
We recently supported a major airline assess their return on investment from historical marketing expenditure and helped them optimize their strategy going forward.
We assisted Santander in quantifying the impact of their growth capital lending on SMEs. We looked at the impact on revenue, profit and employment using a machine learning based propensity score model and distance-based methods.
