Written by Rashid Muhamedrahimov and Ethan Soo Summary As the competition landscape is constantly evolving, the question still remains: Is there a need to revamp the way we measure closeness of competition? There are many standardised ways to measure how close competitors are. We can supplement these measures with evidence that has traditionally been difficult … Continued
Written by Enrico Alemani and Jaime Coronado Natural language processing (“NLP”) is a branch of Artificial Intelligence (“AI”) focused on how computers can understand language (e.g. written text) in much the same way human beings do. In this article, the data science team explores how NLP can be a new helpful tool in merger proceedings, … Continued
In this article, the data science team shows that data related to searches correlate with and predict sales and are therefore very helpful for competition analysis.
Written by Tristan Salmon and James Forster In this article, the data science team illustrate intuitive ways to explore and visualise complex data using the example of the how, where, when and who of the COVID-19 pandemic. Traditional charts (and in particular, line charts) are very popular in economic consulting. At their best, they present … Continued
Written by Bhargav Bharadwaj, Antoine Gracia Victoria, Wiktor Owczarz and Waldemar Schuppli Fuzzy matching is a set of data science techniques that save critical time and reduce the risk of human error when matching string variables (e.g., customer names) in large, distinct datasets, for example, to assess the closeness of competition between merging firms, or … Continued
Compass Lexecon is excited to announce that the exceptional economist Joe Perkins will join the firm’s London office in June 2020 in a strategic new role as Head of Research in addition to providing expert advice on consulting projects. Joe has been Chief Economist at Ofgem since July 2016 and was an All Souls Prize Fellow at Oxford University.