Benchmarking

The goal of a benchmarking project is to give an organisation an external reference point for its own performance. Without comparison data, it is hard to know whether a performance gap reflects an internal problem or is simply how the market looks. Benchmarking answers that question by collecting data from comparable organisations and measuring the difference.

The work starts with defining which metrics to compare and selecting a peer group of comparable organisations. Once the group is defined, you collect data from public sources, industry reports, or surveys, then structure it for comparison. The final step is interpreting the gaps: not every difference reflects a problem, and the analysis must explain which gaps matter and why.

Common tools are Excel and Python for data collection and analysis, and PowerPoint for presenting results. Statistical methods such as regression or cluster analysis can be used to control for structural differences between organisations. The quality of a benchmarking study depends heavily on the data: peer data is often incomplete, inconsistently defined, or only available at a lag.

Benchmarking projects appear across strategy consulting, financial services, and large corporations. Government and regulated industries also use them to assess market performance. In the Netherlands, public institutions such as ministries and regulators commission benchmarking studies of regulated markets. The work connects to the Strategist role and draws on skills from the Data Analyst and Quant Researcher roles.