Highlights

This report describes the method in which Lloyds agent’s data¹ with declared aviation capability was obtained.

Aim

Set out the process used to build a data file from which general statistics are computed that shed light on capabilities, skills and training of Lloyd’s assessors for aviation claims.

a six step approach in python was used to generate the data file.
the first step fetched agent details from the Lloyd’s website. 14021 agent details were obtained.
in the second 80 agents were filtered based on their declared capability set of “aviation”.
the third step obtained basic details for these 80 agents and stored them in a text file.
the fourth step obtained fuller aviation capabilities declared by these 80 agents and stored these details.
in the fifth step specific assesor details who worked for the agents was obtained. And in the sixth step each assessors’s specific experience and qualifications were stored in a text file.

The final text file contained the raw data from which the final report was derived and comprised 98 assessor details from 54 countries.

This report contains the workflow outline for extracting data on Lloyds assessor skills and capabilities for subsequent analysis.