Implementation of computational intelligence algorithms for the automation of business workflow at BuildMapper

KPU and BuildMapper pursued a collaborative data science project to automate and enhance BuildMapper’s core business intelligence algorithms. One algorithm will consist of a customized web crawler for the discovery and acquisition of semi-structured and unstructured construction phase information sourced from municipality websites. The other work includes the design of a SQL database for the storage of municipality download links pointing to construction phase data at the top 100 municipalities in Canada. This work will enable BuildMapper to shift from a labour intensive workflow to a highly automatized and scalable system, which will enhance and exponentially increase the velocity of data acquisition. This will enable BuildMapper to enter markets currently not feasible with the current labour intensive model.

Faculty Supervisor:

Levente Orbán

Student:

Tina Charmchi

Partner:

BuildMapper Inc

Discipline:

Psychology

Sector:

University:

Kwantlen Polytechnic University

Program: