We use the latest analytical methods and tools to provide audit insights based on evidence and to enhance the scrutiny of public spending.
Our expertise includes:
- data analytics;
- economic and financial analysis;
- qualitative and survey research methods;
- GIS mapping and spatial analysis;
- statistics; and
From embedding data analytics techniques in financial audits to reviewing government’s models, we use analysis to provide assurance on the accuracy of government’s accounts.
We interrogate data for a clearer understanding of issues, providing Parliament and the bodies we audit with deeper insight. Our engaging interactive data visualisations help make our audit findings accessible to a wider audience.
Our specialised knowledge is also used to produce cross-cutting assessments on the value for money of government’s own use of analytical techniques.
The content on this page shows how we use advanced analysis techniques, illustrating what is possible when working with government data.
Insights we have drawn from exploratory analysis of data used by the Environment Agency as part of its regulation of storm overflows.
A structured approach to reviewing models, helpful when commissioning or analysing a model to check if it's robust and reasonable.
This review looks at the coverage, quality, use and resource costs of evaluations conducted or commissioned by government departments.
Inadequate forecasting is an entrenched problem for government, leading to poor value for money and increased costs.
Opinion and comment
Find out why a strong business case is vital for effective decision making and for successfully delivering intended outcomes.
Our central analysis team used process mining to help us understand the Home Office’s operation of the Windrush Compensation Scheme
A series of papers summarising the methodological approaches we have used for new analytical techniques.
How we used a technique called 'webscraping' to harvest and analyse textual content from the GOV.UK website.
How we created an interactive data visualisation of our jobcentre journey time model.
Ruth is our Chief Analyst and has wide experience of applying economics and other analytical approaches to support policy evaluation, investment decisions and risk management. Prior to joining the NAO, she held business evaluation and risk management roles for a global resources company, and advised clients on carbon and energy issues for a Big 4 economic consultancy practice.
Phil has built and coordinated our central analysis capability since 2010. He is an expert in identifying how methods can be applied to provide audit insights. His previous experience is in economics and analysis, working in government on transport, housing and strategy.
Elliott has been our head of modelling since 2015. He is an expert in reviewing public-sector models to produce accounting estimates and to inform decision making, and also builds bespoke models to generate knowledge and insight into the value of government spending.
Ben has led our data analytics function since 2014. With 15 years prior experience as a government statistician in a number of departments, he is an expert in data modelling, the application of data analytics to audit and in various programming languages.