Using evidence in policymaking guide Guide

8. Operational research

Operational research, also known as ‘management science’, is the application of analytical methods to management problems. It aims to provide a rational basis for decision-making by understanding and structuring complex situations. This often involves building mathematical models to predict system behaviour and assist the planning of changes to the system.

Operational research originated in Britain during World War II when it was used to apply mathematical techniques to the planning of military operations. Since then it has become recognised as an important input to decision-making in business, industry and government.

Operational research in government

There are over 400 operational researchers working across government and its agencies. These analysts draw on a range of operational research (OR) and statistical methods to deliver results. At all levels, OR Analysts are expected to make effective use of computing and specialist software; whilst also having excellent interpersonal and project management skills.

Core operational research

  • business modelling
  • simulation and estimation
  • optimising techniques
  • systems thinking
  • business process re-engineering
  • performance measurement
  • continuous improvement
  • decision making
  • policy evaluation

Statistics

  • statistical methods in research
  • prediction and forecasting
  • hypothesis testing
  • time series analysis
  • multiple regression
  • sampling and survey design
  • correlation and regression analysis

Computing

  • spreadsheets
  • databases
  • statistical packages (eg SAS, SPSS)
  • computer coding (eg visual basic, SQL)

Operational research in ACME

The EAU operational research team provides a tailored service to policy and corporate colleagues. View recent case studies below. To discuss other opportunities, please contact EAU.

UK broadband impact study

  • designed and commissioned external research and appraisal, including a detailed economic impact model

Workforce model

  • created an in-house product to allow different workforce scenarios to be modelled

Digital radio switch-over model

  • developed in-house a model to assess the costs and benefits of a potential switch-over

Leveson Inquiry

  • designed and facilitated Multi-Criteria Decision Analysis sessions to help compare different Press Regulation options

Creative Bursaries evaluation

  • evaluating the results and impact of the Creative Bursaries policy

Diary Management

  • led a Continuous Improvement project to improve some of the department’s admin processes

Programme management and reporting

  • helped design new programme management processes, including project management and resource allocation

Excel support

  • work with individual colleagues to improve their spreadsheets and provided training tips

Bespoke data analysis

  • support provide on an ad-hoc basis, such as analysing the Pulse Survey results